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  • Understand major technology trends driving Deep Learning
  • Build fully connected deep neural networks
  • Get proficient in Convolutional Neural Networks and its applications
  • Become adept in imposing Recurrent Neural Networks Model
  • Implement Neural Networks in TensorFlow
  • 40 hours of instructor-led training

Course description

  • Why Deep Learning Course with TensorFlow?

    • Deep Learning is one of the most exciting and promising frontier technologies and the advancements happening in this field are seeping into your smartphone, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change.
    • TensorFlow is an open source software library developed by Google for the purposes of conducting machine learning and deep neural networks research. It is one of the most popular software used for deep learning models and contains all the tools right from building to deployment.
    • According to, the median salary of an Engineer with Deep Learning Skills is a whopping $ 120, 000!

  • What are the objectives of this Deep Learning course?

    By the end of this Deep Learning Course with TensorFlow, you will be able to accomplish the following: 

    • Master TensorFlow by understanding the concepts of TensorFlow, the 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 like convolutional neural networks, recurrent neural networks, training deep networks, high-level interfaces

  • What skills will you learn in this Deep Learning online course?

    • You will grasp the concepts of deep learning clearly and implement algorithms.
    • Build Deep Learning models in TensorFlow and interpret the results of Deep Learning models
    • Understand the language and fundamentals of artificial neural networks
    • Troubleshoot and improve Deep Learning models
    • Build your own Deep Learning project 
    • You will be able to differentiate between machine learning, deep learning, and artificial intelligence

  • Who should take this Deep Learning with TensorFlow course?

    There is an increasing demand for skilled Deep Learning Engineers across all industries, making this Deep Learning Course with TensorFlow training course well-suited for participants at the intermediate to advanced level of experience. We recommend this Deep learning online course particularly for the following professionals:

    • Software engineers
    • Data scientists
    • Analysts
    • Statisticians with an interest in Deep Learning

Course preview

    • Introduction to TensorFlow
      • Intro to TensorFlow
      • Computational Graph
      • Key highlights
      • Creating a Graph
      • Regression example
      • Gradient Descent
      • TensorBoard
      • Modularity
      • Sharing Variables
      • Keras
    • Perceptrons
      • What is a Perceptron
      • XOR Gate
    • Activation Functions
      • Sigmoid
      • ReLU
      • Hyperbolic Fns
      • Softmax
    • Artificial Neural Networks
      • Introduction
      • Perceptron Training Rule
      • Gradient Descent Rule
    • Gradient Descent and Backpropagation
      • Gradient Descent
      • Stochastic Gradient Descent
      • Backpropagation
      • Some problems in ANN
    • Optimization and Regularization
      • Overfitting and Capacity
      • Cross Validation
      • Feature Selection
      • Regularization
      • Hyperparameters
    • Intro to Convolutional Neural Networks
      • Intro to CNNs
      • Kernel filter
      • Principles behind CNNs
      • Multiple Filters
      • CNN applications
    • Intro to Recurrent Neural Networks
      • Intro to RNNs
      • Unfolded RNNs
      • Seq2Seq RNNs
      • LSTM
      • RNN applications
    • 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 need to attend one complete class
    • Successful completion and evaluation of any one of the given projects

Course advisor

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. 



  • Who are the trainers?

    The Deep Learning training course sessions are delivered by highly qualified and certified instructors with relevant industry experience.

  • Can I cancel my enrolment? Do I get a refund?

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

  • What payment options are available?

    Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.

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

  • I’d like to learn more about this Deep Learning Training Course. Whom should I contact?

    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 will be able to give you more details

  • 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. 

  • 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. 

    Our Austin address

    106 East Sixth Street, Suite 900, Austin, Texas 78701, United States of America

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