Books & Videos

Table of Contents

Chapter: Introduction to Deep Learning

The Course Overview

05m 22s

Fundamental Concepts in Deep Learning

07m 42s

Introduction to Artificial Neural Networks

07m 57s

Classification with Two-Layers Artificial Neural Networks

08m 2s

Probabilistic Predictions with Two-Layer ANNs

06m 33s

Chapter: Working with Neural Network Architectures

Introduction to Multi-hidden-layer Architectures

04m 31s

Tuning ANNs Hyper-Parameters and Best Practices

06m 12s

Neural Network Architectures

04m 57s

Neural Network Architectures (Continued)

08m 2s

Chapter: Advanced Artificial Neural Networks

The LearningProcess

05m 35s

Optimization Algorithms and Stochastic Gradient Descent

08m 11s

Backpropagation

06m 44s

Hyper-Parameters Optimization

07m 17s

Chapter: Convolutional Neural Networks

Introduction to Convolutional Neural Networks

09m 57s

Introduction to Convolutional Neural Networks (Continued)

10m 35s

CNNs in R

10m 41s

Classifying Real-World Images with Pre-Trained Models

08m 29s

Chapter: Recurrent Neural Networks

Introduction to Recurrent Neural Networks

11m 57s

Introduction to Long Short-Term Memory

08m 7s

RNNs in R

08m 55s

Use-Case – Learning How to Spell English Words from Scratch

06m 35s

Chapter: Towards Unsupervised and Reinforcement Learning

Introduction to Unsupervised and Reinforcement Learning

06m 44s

Autoencoders

04m 56s

Restricted Boltzmann Machines and Deep Belief Networks

07m 44s

Reinforcement Learning with ANNs

07m 22s

Use-Case – Anomaly Detection through Denoising Autoencoders

06m 52s

Chapter: Applications of Deep Learning

Deep Learning for Computer Vision

07m 19s

Deep Learning for Natural Language Processings

06m 4s

Deep Learning for Audio Signal Processing

05m 1s

Deep Learning for Complex Multimodal Tasks

04m 32s

Other Important Applications of Deep Learning

05m 24s

Chapter: Advanced Topics

Debugging Deep Learning Systems

05m 56s

GPU and MGPU Computing for Deep Learning

04m 57s

A Complete Comparison of Every DL Packages in R

04m 40s

Research Directions and Open Questions

04m 47s