Books & Videos

Table of Contents

Chapter: Head First into Deep Learning

The Course Overview

03m 51s

What Is Deep Learning?

04m 8s

Open Source Libraries for Deep Learning

04m 30s

Deep Learning "Hello World!" Classifying the MNIST Data

07m 57s

Chapter: Backpropagation and Theano for the Rescue

Introduction to Backpropagation

05m 23s

Understanding Deep Learning with Theano

05m 4s

Optimizing a Simple Model in Pure Theano

07m 53s

Chapter: Keras – Making Theano Even Easier to Use

Keras Behind the Scenes

05m 24s

Fully Connected or Dense Layers

04m 46s

Convolutional and Pooling Layers

06m 40s

Chapter: Solving Cats Versus Dogs

Large Scale Datasets, ImageNet, and Very Deep Neural Networks

05m 17s

Loading Pre-trained Models with Theano

05m 15s

Reusing Pre-trained Models in New Applications

07m 22s

Chapter: "for" Loops and Recurrent Neural Networks in Theano

Theano "for" Loops – the "scan" Module

05m 18s

Recurrent Layers

06m 28s

Recurrent Versus Convolutional Layers

03m 42s

Recurrent Networks –Training a Sentiment Analysis Model for Text

06m 50s

Chapter: Bonus Challenge and TensorFlow

Bonus Challenge – Automatic Image Captioning

04m 40s

Captioning TensorFlow – Google's Machine Learning Library

05m 15s