About this Course

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.

Course 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
  1. What is a Deep Learning Library?
  2. Theano
  3. Deeplearning4j
  4. Torch
  5. Caffe

General Information

• This course is free.
• It is self-paced.
• It can be taken at any time.
• It can be audited as many times as you wish.

Recommended skills prior to taking this course

• None

Requirements