Deep Learning Training Course (with Keras & TensorFlow) in Bangalore

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Deep Learning Course Overview

In a Deep Learning Course with Tensorflow training in Bangalore, you will learn PyTorch, autoencoders, and more. The Deep Learning Course with Tensorflow training in Bangalore will let you assemble profound learning models, and decipher results for your deep learning project.

Deep Learning Course Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this Deep Learning course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 8X higher live interaction in live online classes by industry experts
  • Flexibility to choose classes
  • Real-life industry-based projects
  • Dedicated mentoring session from our Industry expert faculties
  • 8X higher live interaction in live online classes by industry experts
  • Real-life industry-based projects
  • Flexibility to choose classes
  • Dedicated mentoring session from our Industry expert faculties
  • 8X higher live interaction in live online classes by industry experts
  • Real-life industry-based projects
  • Flexibility to choose classes
  • Dedicated mentoring session from our Industry expert faculties

Skills Covered

  • Keras and TensorFlow Framework
  • Image Classification
  • Autoencoders
  • Conventional Neural Networks
  • ADAM Adagrad and Momentum
  • PyTorch and its elements
  • Artificial Neural Networks
  • Deep Neural Networks
  • Recurrent Neural Networks
  • Keras and TensorFlow Framework
  • PyTorch and its elements
  • Image Classification
  • Artificial Neural Networks
  • Autoencoders
  • Deep Neural Networks
  • Conventional Neural Networks
  • Recurrent Neural Networks
  • ADAM Adagrad and Momentum
  • Keras and TensorFlow Framework
  • PyTorch and its elements
  • Image Classification
  • Artificial Neural Networks
  • Autoencoders
  • Deep Neural Networks
  • Conventional Neural Networks
  • Recurrent Neural Networks
  • ADAM Adagrad and Momentum

Begin your journey to success

Get lifetime access to self-paced e-learning content

Benefits

By undergoing the Deep Learning Course with Tensorflow training in Bangalore, you will know that it stimulates the calculations of the machine and profound learning. Deep Learning Course with Tensorflow training in Bangalore will facilitate you with every one of its capacities, decipher results and more.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Annual Salary
    ₹509KMin
    ₹1364KAverage
    ₹4200KMax
    Source: Glassdoor
    Hiring Companies
    Accenture hiring for Data Scientist professionals in Bangalore
    Oracle hiring for Data Scientist professionals in Bangalore
    Microsoft hiring for Data Scientist professionals in Bangalore
    Walmart hiring for Data Scientist professionals in Bangalore
    Amazon hiring for Data Scientist professionals in Bangalore
    Source: Indeed
  • Annual Salary
    ₹463KMin
    ₹813KAverage
    ₹1,581KMax
    Source: Glassdoor
    Hiring Companies
    Qualcomm hiring for Machine Learning Engineer professionals in Bangalore
    Nvidia hiring for Machine Learning Engineer professionals in Bangalore
    LarsenAndTurbo hiring for Machine Learning Engineer professionals in Bangalore
    Honeywell hiring for Machine Learning Engineer professionals in Bangalore
    Source: Indeed

Training Options

online Bootcamp

  • 90 days of flexible access to online classes
  • Lifetime access to high-quality self-paced e-learning content and live class recordings
  • 24x7 learner assistance and support
  • Cohorts starting in Bangalore from:
1st Apr: Weekday Class
View all cohorts

₹22,470

Corporate Training

Customised to enterprise needs

  • Blended learning delivery model (self-paced eLearning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support

Deep Learning Course Curriculum

Eligibility

The Deep Learning Course with Tensorflow course in Bangalore helps you move towards the following position in your career. Interest for gifted Deep Learning Engineers is blasting across a broad scope of ventures, making this Deep Learning course in NYC with Keras and Tensorflow certificates preparing appropriately for experts at the middle to cutting edge level. We suggest this Deep Learning Course with Tensorflow training in Bangalore and course especially for Software Engineers, Data Scientists, Data Analysts, and Statisticians with a premium in profound learning.
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Pre-requisites

The Deep Learning Course with Tensorflow course in Bangalore helps you gain some programming knowledge. The Members in this Deep Learning course in NYC ought to know programming essentials, a reasonable comprehension of the fundamentals of insights and arithmetic, and a decent understanding of AI ideas. The Deep Learning Course with Tensorflow training in Bangalore makes you escalate to the next programming stage.
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Course Content

  • Section 1 - Deep Learning with Keras and Tensorflow (IBM)

    Preview
    • Lesson 01: Deep Learning with Keras and Tensorflow (IBM)

      • 1.01 Deep Learning with Keras and Tensorflow (IBM)
  • Section 2 - Deep Learning with Keras and Tensor Flow (Live Classes)

    Preview
    • Lesson 1 - Course introduction

      03:11Preview
      • Introduction
      • Accessing Practice Lab
        03:11
    • Lesson 2 - AI and Deep learning introduction

      • What is AI and Deep learning
      • Brief History of AI
      • Recap: SL, UL and RL
      • Deep learning : successes last decade
      • Demo & discussion: Self driving car object detection
      • Applications of Deep learning
      • Challenges of Deep learning
      • Demo & discussion: Sentiment analysis using LSTM
      • Fullcycle of a deep learning project
      • Key Takeaways
      • Knowledge Check
    • Lesson 3 - Artificial Neural Network

      • Biological Neuron Vs Perceptron
      • Shallow neural network
      • Training a Perceptron
      • Demo code: Perceptron ( linear classification) (Assisted)
      • Backpropagation
      • Role of Activation functions & backpropagation
      • Demo code: Backpropagation (Assisted)
      • Demo code: Activation Function (Unassisted)
      • Optimization
      • Regularization
      • Dropout layer
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project (MNIST Image Classification)
    • Lesson 4 - Deep Neural Network & Tools

      • Deep Neural Network : why and applications
      • Designing a Deep neural network
      • How to choose your loss function?
      • Tools for Deep learning models
      • Keras and its Elements
      • Demo Code: Build a deep learning model using Keras (Assisted)
      • Tensorflow and Its ecosystem
      • Demo Code: Build a deep learning model using Tensorflow (Assisted)
      • TFlearn
      • Pytorch and its elements
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project: Build a deep learning model using Pytorch with Cifar10 dataset
    • Lesson 5 - Deep Neural Net optimization, tuning, interpretability

      • Optimization algorithms
      • SGD, Momentum, NAG, Adagrad, Adadelta , RMSprop, Adam
      • Batch normalization
      • Demo Code: Batch Normalization (Assisted)
      • Exploding and vanishing gradients
      • Hyperparameter tuning
      • Interpretability
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project: Hyperparameter Tunning With Keras Tuner
    • Lesson 6 - Convolutional Neural Network

      • Success and history
      • CNN Network design and architecture
      • Demo code: CNN Image Classification (Assisted)
      • Deep convolutional models
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project: Image Classification
    • Lesson 7 - Recurrent Neural Networks

      • Sequence data
      • Sense of time
      • RNN introduction
      • LSTM ( retail sales dataset kaggle)
      • Demo code: Stock Price Prediction with LSTM (Assisted)
      • Demo code: Multiclass Classification using LSTM (Unassisted)
      • Demo code: Sentiment Analysis using LSTM (Assisted)
      • GRUs
      • LSTM Vs GRUs
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project: Stock Price Forecasting
    • Lesson 8 - Autoencoders

      • Introduction to Autoencoders
      • Applications of Autoencoders
      • Autoencoder for anomaly detection
      • Demo code: Autoencoder model for MNIST data (Assisted)
      • Key Takeaways
      • Knowledge Check
      • Lesson-end Project: Anomaly detection with Keras
  • Section 3 - Practice Projects

    Preview
    • Practice Projects

      • PUBG Players Finishing Placement Prediction
  • Free Course
  • Math Refresher

    Preview
    • Lesson 01: Course Introduction

      06:23Preview
      • 1.01 About Simplilearn
        00:28
      • 1.02 Introduction to Mathematics
        01:18
      • 1.03 Types of Mathematics
        02:39
      • 1.04 Applications of Math in Data Industry
        01:17
      • 1.05 Learning Path
        00:25
      • 1.06 Course Components
        00:16
    • Lesson 02: Probability and Statistics

      32:38Preview
      • 2.01 Learning Objectives
        00:29
      • 2.02 Basics of Statistics and Probability
        03:08
      • 2.03 Introduction to Descriptive Statistics
        02:12
      • 2.04 Measures of Central Tendencies​
        04:50
      • 2.05 Measures of Asymmetry
        02:24
      • 2.06 Measures of Variability​
        04:55
      • 2.07 Measures of Relationship​
        05:22
      • 2.08 Introduction to Probability
        08:36
      • 2.09 Key Takeaways
        00:42
      • 2.10 Knowledge check
    • Lesson 03: Coordinate Geometry

      06:31
      • 2.01 Learning Objectives
        00:29
      • 2.02 Basics of Statistics and Probability
        03:08
      • 2.03 Introduction to Descriptive Statistics
        02:12
      • 2.04 Measures of Central Tendencies​
        04:50
      • 2.05 Measures of Asymmetry
        02:24
      • 2.06 Measures of Variability​
        04:55
      • 2.07 Measures of Relationship​
        05:22
      • 2.08 Introduction to Probability
        08:36
      • 2.09 Key Takeaways
        00:42
      • 2.10 Knowledge check
    • Lesson 04: Linear Algebra

      29:53Preview
      • 4.01 Learning Objectives
        00:29
      • 4.02 Introduction to Linear Algebra
        03:21
      • 4.03 Forms of Linear Equation
        05:21
      • 4.04 Solving a Linear Equation
        05:21
      • 4.05 Introduction to Matrices
        02:05
      • 4.06 Matrix Operations
        07:07
      • 4.07 Introduction to Vectors
        01:00
      • 4.08 Types and Properties of Vectors
        01:52
      • 4.09 Vector Operations
        02:39
      • 4.10 Key Takeaways
        00:38
      • 4.11 Knowledge Check
    • Lesson 05: Eigenvalues Eigenvectors and Eigendecomposition

      08:56
      • 5.01 Learning Objectives
        00:29
      • 5.02 Eigenvalues
        01:19
      • 5.03 Eigenvectors
        04:09
      • 5.04 Eigendecomposition
        02:21
      • 5.05 Key Takeaways
        00:38
      • 5.06 Knowledge Check
    • Lesson 06: Introduction to Calculus

      09:47Preview
      • 6.01 Learning Objectives
        00:30
      • 6.02 Basics of Calculus
        01:20
      • 6.03 Differential Calculus
        03:01
      • 6.04 Differential Formulas
        01:01
      • 6.05 Integral Calculus
        02:33
      • 6.06 Integration Formulas
        00:47
      • 6.07 Key Takeaways
        00:35
      • 6.08 Knowledge Check

Project

  • Project 1

    PUBG Players Finishing Placement Prediction

    Create a model that predicts players’ finishing placement based on their final stats, on a scale of 1 (first place) to 0 (last place).

  • Project 2

    Lending Club Loan Data Analysis

    Create a model that predicts whether a loan will go into default using the historical data.

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TensorFlow Exam & Certification

Deep Learning Certificate in Bangalore
  • Who provides the certification, and how long is it valid for?

    Simplilearn will offer you both the Deep Learning Course with Tensorflow training in Bangalore and an industry-perceived course finishing endorsement with never-ending legitimacy upon the fruitful culmination of the Deep Learning course in Bangalore with Tensorflow preparing. The Deep Learning Course with Tensorflow training in Bangalore helps you a lot from an exam point of view.

  • What do I need to do to unlock my Simplilearn certificate?

    To get the Deep Learning with TensorFlow certification, you must complete the following tasks:
    • Complete The Deep Learning Course with Tensorflow training in Bangalore 
    • Go to an exhaustive Deep Learning course with Tensorflow guidance in Bangalore. 
    • Finish and get an assessment for any of the tasks given.
    The Deep Learning Course with Tensorflow course in Bangalore makes the way clear to unlock the Simplilearn certificate.

  • How do I crack the Tensorflow Developer certification exam?

    Taking this Deep Learning Course with Tensorflow training in Bangalore and a Deep Learning course in Bangalore is the best way to pass the TensorFlow Developer certification exam. After you've finished the course, you'll be able to register for the TensorFlow developer certification test. There will be five categories on the test, and students must complete five models, one from each category. The Deep Learning Course with Tensorflow course in Bangalore gives an idea about the fundamental machine learning model, a model from a learning dataset, CNN with a real-world image dataset, NLP Text Classification with a real-world text dataset, and Sequence Model with a real-world numeric dataset are among the categories. Professionals may complete this test on any machine that meets the PyCharm IDE's criteria.

  • What is the fee for the TensorFlow Developer certification exam?

    The Deep Learning Course with Tensorflow training in Bangalore makes you feel at ease with the exam. The TensorFlow Developer certification test cost is $100, which covers one try at the exam, which incorporates one test endeavor. By The Deep Learning Course with Tensorflow course in Bangalore, you have a half year from the date of buying the test to take the test before your buy terminates.

  • What is the duration of the TensorFlow Developer certification exam?

    The Deep Learning Course with Tensorflow course in Bangalore guides you to progress and achieve the next level in your career. You will have 5 hours to finish and submit the TensorFlow certification test once you begin it. If you do not finish placing your responses within 5 hours, the portal will submit them for you after the time limit has expired. The Deep Learning Course with Tensorflow training in Bangalore helps to complete certification exams.

  • How many attempts do I have to pass the TensorFlow Developer certification exam?

    Candidates will take the TensorFlow Developer certification test three times. The Deep Learning Course with Tensorflow training in Bangalore accompanied you should work widely on the fundamental standards of AI, ML, Deep-Learning, and Big Data Analytics. You are encouraged to take on an online course and The Deep Learning Course with Tensorflow training in Bangalore.

  • What are the system requirements for taking the TensorFlow Developer certification exam?

    The Deep Learning Course with Tensorflow course in Bangalore guides you to give a clear picture of requirements. To take the TensorFlow affirmation test, you should meet the accompanying negligible necessities: 4 GB of RAM, 2.5 GB of plate space, in addition to 1 GB for stores, 1024 × 768 screen goal, and The Deep Learning Course with Tensorflow training in Bangalore describes you about Working framework - any Linux appropriation that upholds Gnome, KDE, or Unity DE, or any authoritatively distributed 64-bit form of Microsoft Windows 8 or later, macOS 10.13 or later.

  • What are the benefits of taking the TensorFlow Developer certification exam?

    Coming up next are a portion of the upsides of taking the TensorFlow accreditation test: 

    • The Deep Learning Course with Tensorflow training in Bangalore will acquire new Machine Learning abilities. This accreditation test will assist you with further developing your Machine Learning abilities. 
    • The Deep Learning Course with Tensorflow course in Bangalore insists on being Perceived by the TensorFlow people group. Once you've been affirmed, you will be recognized by the TensorFlow people group. 
    • Exhibit your capacities - The TensorFlow accreditation shows that you are knowledgeable in the subject, just as showing your abilities.

Deep Learning Training Reviews

  • Abhishek Tripathi

    Abhishek Tripathi

    Bangalore

    Good online content for data science. I completed Data Science with R and Python. The instructors have good knowledge on the subject. Self-learning videos help a lot, too. Thanks, Simplilearn.

  • Angiras Modak

    Angiras Modak

    Associate System Engineer at IBM India Pvt. Ltd., Kolkata

    Simplilearn is one of the best online training providers available. The trainer was really great in explaining the concepts to the minute detail and also gave multiple real-world examples. The course content was very informative. I understood the concept of CNN. Overall I really enjoyed the training a lot.

  • A.Anthony Davis

    A.Anthony Davis

    Kingston

    The Simplilearn Data Scientist Master’s Program is an awesome course! You learn how to solve real-world problems, and the wide variety of projects give you hands-on experience to make you industry-ready. The lecturers are experts and share their knowledge energetically. Thank you for an excellent learning experience.

prevNext

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Deep Learning Training FAQs

  • What is Deep Learning?

    Deep Learning, also known as Deep Neural Learning, is a subset of machine learning, an application of AI, where machines imitate the workings of the human brain and employ artificial neural networks to process the information.

  • What is TensorFlow?

    TensorFlow is an open source library created and released by google for numerical computation and building deep learning models.

  • Why should I learn Deep Learning?

    In traditional machine learning, most of the applied features need to be identified by a domain expert in order to reduce the complexity of the data. Whereas the biggest advantage of the Deep Learning algorithm is it tries to learn high-level features from data in an incremental manner, which makes the process simpler and popular. Deep Learning techniques outperform other techniques when the data size is large and complex, and also, this technique is behind many high-end innovations.

  • How do I become a Deep Learning Engineer?

    This Deep Learning course with Keras and TensorFlow certification training will give you a complete overview of  Deep Learning concepts, enough to prepare you to excel in your next role as a Deep Learning Engineer. Deep Learning Training will help you become familiar with artificial neural networks, PyTorch, autoencoders, and more. At the end of our best deep learning course online, you will get an industry-recognized course completion certificate from Simplilearn, which will be a testament to your skills with deep learning specialization.

    Unlock New Frontiers: Discover More Tensorflow Courses for Career Growth.

  • How will the labs be conducted?

    Simplilearn provides Integrated labs for all the hands-on execution of projects. The learners will be guided on all aspects, from deploying tools to executing hands-on exercises.

  • What are the objectives of Deep Learning course in Bangalore?

    The presence of Deep Learning is increasing in the technology space with its implementation in various fields like climate change solutions, driving advancements in healthcare, smartphone applications, improving agricultural yields, creating efficiencies in the power grid etc.

    Simplilearn has designed the Deep Learning course in Bangalore with TensorFlow training, which allows candidates to learn deep learning techniques and build deep learning models using TensorFlow.

    TensorFlow is an open-source software library developed by Google used for deep neural network research and contains powerful tools to help you build and implement artificial neural networks. It helps candidates create deep learning models, manage neural networks and interpret the results.

    Moreover, engineers with enhanced deep learning skills can earn an average salary of $120,000 per year, according to payscale.com.

  • What skills you learn from Deep Learning course in Bangalore?

    By the end of this Deep Learning course in Bangalore, you will be able to accomplish the following:

    • Understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline
    • Differentiate between machine learning, deep learning, and artificial intelligence
    • Troubleshoot and improve deep learning models
    • Build deep learning models in TensorFlow and interpret the results
    • Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
    • Build your own deep learning project
    • Understand the language and fundamental concepts of artificial neural networks
    • Master and comprehend advanced topics such as convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces

  • Who should take the Deep Learning training course in Bangalore?

    Professionals who have an intermediate to advanced level of experience can benefit from the Deep learning course in Bangalore with TensorFlow training . With Artificial Intelligence finding its applications in various fields, there is a highly growing demand for proficient deep learning engineers. This course is best suited for professionals like:

    • Statisticians with an interest in deep learning
    • Data scientists
    • Data analysts
    • Software engineers

  • What are the prerequisites for Deep Learning course in Bangalore with Tensorflow training?

    Participants in this Deep Learning course in Bangalore should have:

    • Familiarity with programming fundamentals
    • Fair understanding of basics of statistics and mathematics

  • Is this Deep Learning course training in Bangalore suitable for freshers?

    Yes, the Deep Learning course training in Bangalore is suitable for freshers, and this course helps you master deep learning concepts and models using Keras and TensorFlow frameworks. You will become familiar with the language and fundamental concepts of artificial neural networks, PyTorch, autoencoders, and implement deep learning algorithms, preparing you for a career as a Deep Learning Engineer.

  • What is the course fee of the Deep Learning training in Bangalore?

    The course fee of the Deep Learning training in Bangalore starts from Rs. 19,999/-.

  • In which areas of Bangalore is the Deep Learning training conducted?

    No matter which area of Bangalore you are in, be it Marathalli, Btm Layout, Electronic City, Vijaynagar, HSR Layout, Indira Nagar, Jayanagar anywhere. You can access our Deep Learning course online sitting at home or office.

  • Do you provide this Deep Learning training in Bangalore with placement?

    No, currently, we do not provide any placement guarantee with the Deep Learning course.

  • Why do I need to choose Simplilearn to learn Deep Learning in Bangalore?

    Simplilearn provides instructor-led training, lifetime access to self-paced learning, training from industry experts, and real-life industry projects with multiple video lessons.

  • Who are the instructors and how are they selected?

    All of our highly qualified trainers are Deep Learning and Machine Learning industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What if I miss a class?

    Simplilearn provides recordings of each class of Deep Learning course so you can review them as needed before the next session. With Flexi-pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions as per your convenience.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in TensorFlow in your first attempt. They engage students proactively to ensure the Deep Learning Course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.  

  • Is this live training or will I watch pre-recorded videos?

    The TensorFlow certification training is conducted through live streaming. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each TensorFlow course session you attend for your future reference. Classes are attended by a global audience to enrich your learning experience.

  • What is covered under the 24/7 Support promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Deep Learning course online with us.

  • What is online classroom training?

    All of the TensorFlow training classes are conducted via live online streaming. These classes for the TensorFlow course are interactive sessions that enable you to ask questions and participate in discussions during class time.

  • How do I enroll for the Deep Learning course?

    You can enroll for this Deep Learning Training on our website and make an online payment using any of the following options: 

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • How can I learn more about this Deep Learning course?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

  • What is the salary of a machine learning engineer with TensorFlow skills in Bangalore?

    Machine Learning Engineers earn an average salary of Rs. 878526/- per month in Bangalore, Karnataka, and earn up to Rs. 10-15 lakhs per annum based on the job type, skill level, and educational background. Candidates with a deep learning course with tensorflow training in Bangalore and a few years of expertise can earn more.

  • What are the major companies hiring for Machine Learning engineers with TensorFlow skills in Bangalore?

    Talentica, Quytech, Codewave Technologies, AR/VR, and AI, ThirdEye Data, Trigma, Affle Enterprise, and Ideas2IT Technologies are the companies that hire candidates with deep learning courses with tensorflow training in Bangalore.

  • What are the major industries in Bangalore?

    Bangalore is home to a diverse range of heavy and light industries, as well as high-tech and service industries, such as information technology (IT) and electronics, telecommunications, aerospace, pharmaceuticals, biotechnology, food processing, automobiles, banking and finance, mining, steel, and cement manufacturing. Candidates with a deep learning course with tensorflow training in Bangalore are highly preferred by the companies for the jobs.

  • What are the major industries in Bangalore?

    Bangalore is home to a diverse range of heavy and light industries, as well as high-tech and service industries, such as information technology (IT) and electronics, telecommunications, aerospace, pharmaceuticals, biotechnology, food processing, automobiles, banking and finance, mining, steel, and cement manufacturing. Candidates with a deep learning course with tensorflow training in Bangalore are highly preferred by the companies for the jobs.

  • How to become a machine learning engineer with TensorFlow skills in Bangalore?

    Statistics, Python, machine learning, deep learning networks, natural language processing, and reinforcement learning are all covered in the AI and Machine learning programme in Bangalore. You'll use AWS SageMaker to develop and deploy deep learning models in the cloud, work with voice assistant devices, create Alexa skills, and gain access to GPU-enabled laboratories.

  • How to become a machine learning engineer with TensorFlow skills in Bangalore?

    Statistics, Python, machine learning, deep learning networks, natural language processing, and reinforcement learning are all covered in the AI and Machine learning programme in Bangalore. You'll use AWS SageMaker to develop and deploy deep learning models in the cloud, work with voice assistant devices, create Alexa skills, and gain access to GPU-enabled laboratories.

  • How to find a deep learning course with TensorFlow training courses in Bangalore?

    The AI certification course is meant to provide you with a thorough understanding of Artificial Intelligence principles, including the fundamentals of statistics needed for Data Science, Python programming, and Machine Learning. You'll learn how to use Python libraries like NumPy, SciPy, and Scikit-learn, as well as fundamental Machine Learning techniques like supervised and unsupervised learning.

  • Why is Deep Learning important?

    Companies are gathering a massive amount of data every day and analyzing them to draw meaningful business insights. Most of that data is in an unstructured format, i.e. in the form of text, image, audio, and video rather than numerical. Deep learning is quite effective for analyzing such types of data and has become vitally important for business decision making. With our Deep Learning Training with TensorFlow & Keras certification, you can learn all the essential deep learning concepts from scratch.

  • What kind of careers can I pursue with a background in Deep Learning?

    With the relevant skills that you gain from our Deep Learning course, you can apply for top job roles like Machine Learning Engineer, Data Scientist, Business Intelligence Developer, NLP Scientist, and more.

  • Why should you take this Deep Learning course?

    Deep learning skills are in high demand and offer professionals a clear edge over others when applying for top related job roles like Machine Learning Engineer, Data Scientist, or NLP Specialist. Requiring a high level of technical understanding, one may not find it easy to learn deep learning through self-study. Taking up this Deep Learning course is a better option where you get the right guidance from industry experts.

Deep Learning Training Course (with Keras & TensorFlow) in Bangalore

Bangalore's population is expected to reach 12,764,935 in 2021. Bangalore had a population of 745,999 people in 1950. Since 2015, Bangalore's population has increased by 438,403, a 3.56 percent yearly increase. The current version of the UN World Urbanization Prospects provides these population estimates and projections.

Karnataka outperformed all other Indian states in terms of overall GDP growth of 56.2 percent and per capita GDP growth of 43.9 percent over the last decade, propelling Karnataka's per capita income to sixth place in Indian Rupee terms. For the fiscal year 2008–09, Karnataka got $2,026.4 million in foreign direct investment, placing it third among Indian states.

Bengaluru is one of Karnataka's most prominent tourism destinations. MG Road, Brigade Road, Commercial Street, Vidhana Soudha, and few other locations are present in Bengaluru's central business district. In Bengaluru, the BMTC offers special sightseeing buses, such as the Cauvery, a double-decker open-roof bus. There are numerous lakes and parks present in Bengaluru.

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.