IBM Deep Learning Fundamentals Badge | Cognitive Class
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 - 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
Module 2 - Deep Learning Models
Restricted Boltzmann Machines
Deep Belief Nets
Convolutional Networks
Recurrent Nets
Module 3 - Additional Deep Learning Models
Autoencoders
Recursive Neural Tensor Nets
Deep Learning Use Cases
Module 4 - Deep Learning Platforms and Software Libraries
What is a Deep Learning Platform?
H2O.ai
Dato GraphLab
What is a Deep Learning Library?
Theano
Caffe
TensorFlow
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.
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