Deep Learning Fundamentals

Learn via : Virtual Classroom / Online
Duration : 1 Day
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Description

    Get a crash course on the what there is to learn and how to go about learning more.

    Delegates will learn how to

    • What is Deep Learning?
    • What are are convolutional neural networks?
    • Why is deep learning so powerful and what can it be used for?
    • Be part of a rapidly growing field in data science; there’s no better time than now to get started with neural networks.

     

    This course is an introductory course and does not have any hands-on lab. After completing this course, it is recommended to take “Deep learning with TensorFlow” course.


Outline

Introduction to Deep Learning 

  • Why Deep Learning?
  • What is a neural network?
  • Three reasons to go Deep
  • Your choice of Deep Net
  • An old problem: The Vanishing Gradient

Deep Learning Models 

  • Restricted Boltzmann Machines
  • Deep Belief Nets
  • Convolutional Networks
  • Recurrent Nets

Additional Deep Learning Models 

  • Autoencoders
  • Recursive Neural Tensor Nets
  • Deep Learning Use Cases

Deep Learning Platforms and Software Libraries 

  • What is a Deep Learning Platform?
  • H2O.ai
  • Dato GraphLab
  • What is a Deep Learning Library?
  • Theano
  • Caffe
  • TensorFlow