Deep Learning - Hands-On

How does Deep Learning actually work? This course gives a brief, but profound introduction to Neural Networks and Deep Learning – while continually being kept up to date.

0. INTRODUCTION

Personal introduction.

5 mins
1. MACHINE LEARNING CONCEPTS

This chapter gives an explanation of basic concepts in the field of Machine Learning. It gibes an overview on the most important technical terms and serves to situate the topic, which is the foundation of Neural Networks.

20 mins
2. A BRIEF HISTORY OF ARTIFICIAL INTELLIGENCE

The history of artificial intelligence goes back to the 1940s. An overview on interesting historical facts on the pioneers of Artificial Intelligence is given, with a special aim on the beginnings of Artificial Neural Networks.

30 mins
3. INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS

Before diving into Deep Neural Networks an introduction to basic concepts of Artificial Neural Networks in general must be given.

40 mins
4. DEEP LEARNING

Before taking a look at special kinds of Deep Learning, like Convolutional Neural Networks or Recurrent Neural Networks can be given a brief introduction to the topic Deep Learning, with reference to the previous topic is needed.

20 mins
5. CONVOLUTIONAL NEURAL NETWORKS (CNN)

Convolutional Neural Networks are one of the first killer application presented in the field of Deep Learning. They are especially useful for processing of natural language and image processing.

30 mins
6. RECURRENT NEURAL NETWORKS (RNN)

For processing sequences of data Recurrent Neural Networks are needed. Also Long-Short-Term Memory Cells are presented in this chapter.

40 mins
7. FURTHER ASPECTS

This chapter treats further interesting aspects of Deep Learning.

20 mins