Computer Science / Deep Learning

Deep Learning Fundamentals

Brought by: Cognitive Class

Overview

Get a crash course on the what there is to learn and how to go about learning more. Deep Learning presents a simplified explanation of some of the hottest topics in data science today:
  • 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.

Syllabus

  • Module 1 - Deep Learning Concepts
    1. What is a neural network?
    2. Why Deep Learning?
    3. How to choose between deep neural networks?
    4. An old problem: The Vanishing Gradient
    5. Restricted Boltzmann Machines
    6. Deep Belief Networks
  • Module 2 - Deep Learning Concepts Continued
    1. Convolutional Networks
    2. Recurrent Nets
    3. Autoencoders
    4. Recursive Neural Tensor Nets
    5. Deep Learning Use Cases
  • Module 3 - Platforms for Deep Learning
    1. What is a Deep Learning Platform?
    2. H2O.ai
    3. Dato GraphLab
  • Module 4 - Deep Learning Software Libraries
    • What is a Deep Learning Library?
    • Theano
    • Deeplearning4j
    • Torch
    • Caffe
Computer Science / Deep Learning
Deep Learning Fundamentals
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Deep Learning Fundamentals

Brought by: Cognitive Class

  • Cognitive Class
  • Free
  • English
  • Certificate Not Available
  • Available at any time
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