Course Description

  • What are the course objectives?

    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 with TensorFlow, 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

  • What skills you learn in Deep Learning course?

    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 Tensorflow Course?

    Professionals who have an intermediate to advanced level of experience can benefit from the Deep learning with TensorFlow training in Bangalore. 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 learning Deep Learning with Tensorflow?

    Participants in this Deep Learning online course should have:

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

  • What projects are included in this Deep Learning Online Training Course?

    The course includes the following industry-based project. Successful evaluation of the following project is a part of the certification eligibility criteria:

    Project 1: Pet Classification Model Using CNN

    In this project, you build a CNN model that classifies the given pet images correctly into dog and cat images. The code template is given with essential code blocks. TensorFlow can be used to train the data and calculate the accuracy score on the test data.

Course Preview

    • 1. Introduction to TensorFlow

      • Intro to TensorFlow
      • Computational Graph
      • Key highlights
      • Creating a Graph
      • Regression example
      • Gradient Descent
      • TensorBoard
      • Modularity
      • Sharing Variables
      • Keras
    • 2. Perceptrons

      • What is a Perceptron
      • XOR Gate
    • 3. Activation Functions

      • Sigmoid
      • ReLU
      • Hyperbolic Fns
      • Softmax
    • 4. Artificial Neural Networks

      • Introduction
      • Perceptron Training Rule
      • Gradient Descent Rule
    • 5. Gradient Descent and Backpropagation

      • Gradient Descent
      • Stochastic Gradient Descent
      • Backpropagation
      • Some problems in ANN
    • 6. Optimization and Regularization

      • Overfitting and Capacity
      • Cross Validation
      • Feature Selection
      • Regularization
      • Hyperparameters
    • 7. Intro to Convolutional Neural Networks

      • Intro to CNNs
      • Kernel filter
      • Principles behind CNNs
      • Multiple Filters
      • CNN applications
    • 8. Introduction to Recurrent Neural Networks

      • Introduction to RNNs
      • Unfolded RNNs
      • Seq2Seq RNNs
      • LSTM
      • RNN applications
    • 9. Deep Learning applications

      • Image Processing
      • Natural Language Processing
      • Speech Recognition
      • Video Analytics
    • Math Refresher

      • Math Refresher
    • Lesson 1 - Learning Objectives

      • Learning Objectives
    • Lesson 2 - Introduction to Deep Learning

      • Learning Objectives
      • 1.1 Deep Learning: The Series Introduction
      • 1.2 What is a Neural Network
      • 1.3 Three Reasons to go Deep
      • 1.4 Your choice of Deep Net
      • 1.5 An Old Problem
    • Lesson 3 - Deep Learning Models

      • Learning Objectives
      • 2.1 Restricted Boltzmann Machines
      • 2.2 Deep Belief Nets
      • 2.3 Convolutional Nets
      • 2.4 Recurrent Nets
    • Lesson 4 - Additional Deep Learning Models

      • Learning Objectives
      • 3.1 Autoencoders
      • 3.2 Recursive Neural Tensor Nets
      • 3.3 Use Cases
    • Lesson 5 - Deep Learning Platforms & Libraries

      • Learning Objectives
      • 4.1 What is a Deep Net Platform?
      • 4.2
      • 4.3 Dato GraphLab
      • 4.4 What is a Deep Learning Library?
      • 4.5 Theano
      • 4.6 Caffe
      • 4.7 Tensorflow
      • Unlocking IBM Certificate
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Exam & Certification

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

    Candidates need to attend one complete batch of the Online Classroom training and submit any one of the projects for assessment. After the successful assessment, the candidates are awarded the Deep Learning with TensorFlow Certification.  

  • Who provides the certification?


    Simplilearn provides the course completion certificate to the candidates who finish the Deep Learning online training course satisfactorily.

  • Is this course accredited?

    No, this Deep Learning course is not officially accredited.

  • How many questions are there on the Deep Learning exam?

    The Deep Learning simulation test includes a total of 144 questions.

  • How long does it take to complete this Deep Learning course?

    The Deep Learning online certification course can be finished in 45-50 hours if the course path is followed smoothly.

  • How many attempts do I have to pass the Deep Learning exam?


    The candidates are allowed a maximum of three attempts to clear the Deep Learning certification exam. The trainers at Simplilearn, however, assist the candidates to clear the exam successfully.

  • What are the system requirements to attend the training sessions?

    To attend the Deep Learning training program, candidates need to have a system with 8 core processor and RAM of 32 GB.

  • How long is the Deep Learning Certification from Simplilearn valid for?


    The Deep Learning Certification offered by Simplilearn does not need renewal. It comes with lifetime validity.


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.

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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.

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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.

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  • Who are the instructors and how are they selected?


    Simplilearn prefers trainers with high alumni rating only. We make sure that the trainers selected by us have a teaching experience of 12+ years along with thorough domain knowledge. The selection process involves profile screening, technical assessment, and a training demonstration prior to getting a chance to become our mentors.

  • If I need to cancel my enrollment, can I get a refund?


    After deducing the administration fee, the remaining course fee will be refunded on canceling the enrollment. Please go through our Refund Policy to find out more.

  • How do I enroll for the online training?


    Candidates can enroll in the Deep Learning with TensorFlow training in Bangalore in just a few clicks. Simplilearn provides a simple process of completing the payment via:

    • Paypal
    • American Express
    • MasterCard
    • Diner’s Club
    • Visa Credit or Debit card

    A receipt will be automatically generated after the payment is successful.

  • What is Global Teaching Assistance?


    The faculty at Simplilearn enrich the learning experience of the students through interactive sessions and making sure that students have a strong grasp of the subject being taught. Teaching assistance is provided during business hours by our faculty who support the candidates right from class onboarding to project completion and job assistance.

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

    Candidates get a benefit of 24/7 support through calls, chat, or email. There is a community forum of our website where candidates can discuss their difficulties with the course. The community forum comes with lifelong access.

  • How can I learn more about this training program?


    Our support team can be contacted quickly by following some simple steps. Candidates just need to fill the Contact Us form or use the Live Chat link.

  • I am not able to access the online course. Who can help me?


    Simplilearn provides the Contact Us form and the Live Chat option on the website which can be used to get any kind of assistance regarding the course.

  • Do you provide a money back guarantee for the training programs?


    Yes, there is the option of money-back guarantee for many of Simplilearn’s training programs. The Help and Support portal is helpful for the candidates to generate the refund requests after going through the Refund Policy.

  • What is Online Classroom training?


    Simplilearn provides instructor-led training sessions which are conducted via live online streaming. The candidates can join the discussion with the trainer as well as the global audience present during the class.

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

    Simplilearn provides two modes of learning. For self-paced e-learning, the candidates are provided with pre-recorded videos. With Flexi Pass learning, the candidates have the benefit of live online training as well as pre-recorded videos.

  • Are the training and course materials effective in preparing me for the Deep Learning exam?

    Yes, the training program offered by Simplilearn is aligned with the Deep Learning certification exam and ensures that the candidates pass it in their first attempt.

  • What if I miss a session?


    Candidates can access the recordings of each class that are provided by Simplilearn for future reference.

  • How can I learn more about this training program?

    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.

Course Advisor

Mike Tamir
Mike Tamir No. 1 AI and Machine Learning Influencer, Head of Data Science - Uber ATG

​Named by Onalytica as the No.1 influencer in AI and Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.

Our Bangalore Correspondence / Mailing address

# 53/1 C, Manoj Arcade, 24th Main, Harlkunte, 2nd Sector, HSR Layout, Bangalore - 560102, Karnataka, India.

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