Deep Learning Fundamentals


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?
    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


  • None
Ibm Certification Courses