Deep Learning Fundamentals

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.

This course is an introductory course and does not have any hands-on lab. After completing this course, it is recommended to take “Deep learning with TensorFlow” course.

Introduction to Deep Learning 

Why Deep Learning?

What is a neural network?

Three reasons to go Deep

Your choice of Deep Net

An old problem: The Vanishing Gradient

Deep Learning Models 

Restricted Boltzmann Machines

Deep Belief Nets

Convolutional Networks

Recurrent Nets

Additional Deep Learning Models 


Recursive Neural Tensor Nets

Deep Learning Use Cases

Deep Learning Platforms and Software Libraries 

What is a Deep Learning Platform?

Dato GraphLab

What is a Deep Learning Library?




Program Details
Duration 1 Day
Capacity Max 12 Persons
Training Type Classroom / Virtual Classroom

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