Deep Learning Fundamentals

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