Description

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 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

• What is a Deep Learning Library?
• Theano
• Deeplearning4j
• Torch
• Caffe