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Course description

  • Why Learn Deep Learning with Tensorflow?

    There is a growing adoption of Artificial Intelligence in customer-centric services and is expected to drive the market significantly. Deep Learning is a promising subset of Artificial Intelligence and Machine Learning technologies. The deep learning market is estimated to be valued at USD 3.18 Billion and is expected to be worth USD 18.16 billion by 2023.

    Many tech giants are investing hugely in AI and currently offer attractive salary packages to the professionals skilled in Deep Learning. The entry-level professionals in this field earn an average salary of $95,000. With the rising demand, the field of deep learning is actively being explored by many professionals to add on to their existing skillset.

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  • What are the course objectives?

    Deep Learning is one of the most exciting and promising segments of Artificial Intelligence and machine learning technologies. This deep learning course with TensorFlow is designed to help you master deep learning techniques and build deep learning models using TensorFlow, the open-source software library developed by Google for the purpose of conducting machine learning and deep neural networks research. It is one of the most popular software platforms used for deep learning and contains powerful tools to help you build and implement artificial neural networks.
     
    Advancements in deep learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. With this Tensorflow course, you’ll build expertise in deep learning models, learn to operate TensorFlow to manage neural networks and interpret the results.
     
    And according to payscale.com, the median salary for engineers with deep learning skills tops $120,000 per year.
     
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  • What skills will you learn in Deep Learning Course?

    By the end of this deep learning course with TensorFlow, you will be able to accomplish the following:

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

  • Who should take this Deep Learning with TensorFlow course?

    There is booming demand for skilled deep learning engineers across a wide range of industries, making this deep learning course with TensorFlow training well-suited for professionals at the intermediate to advanced level of experience. We recommend this deep learning online course particularly for the following professionals: 
    • Software engineers
    • Data scientists
    • Data analysts
    • Statisticians with an interest in deep learning

  • 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

Course preview

  • Deep Learning with TensorFlow
    • 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 43:03
      • What is a Perceptron 43:03
      • XOR Gate
    • 3. Activation Functions 20:52
      • Sigmoid
      • ReLU 15:20
      • Hyperbolic Fns 05:32
      • Softmax
    • 4. Artificial Neural Networks 1:13:08
      • Introduction 59:50
      • Perceptron Training Rule 13:18
      • Gradient Descent Rule
    • 5. Gradient Descent and Backpropagation 59:30
      • Gradient Descent 59:30
      • 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
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Exam & certification

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

    To obtain the Deep Learning with TensorFlow certification for Online Classroom, you will need to:
    • Attend one complete batch
    • Complete and attain evaluation of any one of the given projects

  • Who provides the certification and how long is it valid for?

    Upon successful completion of the Deep Learning online training course, you will be awarded an industry-recognized course completion certificate from Simplilearn which has a lifelong validity.

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

    Minimum system requirements for attending this course are-

    • 8 core processor
    • 32 GB RAM

Course advisor

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

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

Vivek Singhal
Vivek Singhal Co-Founder & Chief Data Scientist, CellStrat

Vivek is an entrepreneur and thought Leader in Artificial Intelligence and deep-tech industries. He is a leading data scientist and researcher with expertise in AI, Machine Learning, and Deep Learning. 

 

Reviews

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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FAQs

  • What if I miss a class?

    Simplilearn provides recordings of each class 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.

  • Who are the instructors and how are they selected?

    All of our highly qualified trainers are 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.

  • How will the labs be conducted?

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

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in your first attempt. They engage students proactively to ensure the 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 Deep Learning online 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 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 course with us.

  • What is Online Classroom training?

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

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

    Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • How do I enrol for the online training?

    You can enrol for this Deep Learning online 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.

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

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.
     

  • 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.
     

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