Books & Videos

Table of Contents

Chapter: Getting Started

The Course Overview

02m 59s

Installing TensorFlow

05m 33s

Simple Computations

05m 31s

Logistic Regression Model Building

06m 58s

Logistic Regression Training

04m 53s

Chapter: Deep Neural Networks

Basic Neural Nets

05m 16s

Single Hidden Layer Model

05m 5s

Single Hidden Layer Explained

04m 32s

Multiple Hidden Layer Model

05m 22s

Multiple Hidden Layer Results

04m 43s

Chapter: Convolutional Neural Networks

Convolutional Layer Motivation

05m 3s

Convolutional Layer Application

06m 55s

Pooling Layer Motivation

03m 58s

Pooling Layer Application

04m 18s

Deep CNN

06m 28s

Deeper CNN

04m 8s

Wrapping Up Deep CNN

04m 55s

Chapter: Recurrent Neural Networks

Introducing Recurrent Neural Networks

09m 2s

skflow

09m 19s

RNNs in skflow

04m 4s

Chapter: Wrapping Up

Research Evaluation

06m 55s

The Future of TensorFlow

04m 18s