Artificial Intelligence III - Deep Learning in Java

This course is about deep learning fundamentals and convolutional neural networks. Convolutional neural networks are one of the most successful deep learning approaches: self-driving cars rely heavily on this algorithm. First you will learn about densly connected neural networks and its problems. The next chapter are about convolutional neural networks: theory as well as implementation in Java with the deeplearning4j library. The last chapters are about recurrent neural networks and the applications!

So you'll learn about the following topics:

Section #1:

• multi-layer neural networks and deep learning theory

• deep neural networks implementation

Section #2:

• Convolutional Neural Networks (CNNs) theory

• using convolutional neural networks (CNNs) for optical character recognition (OCR)

• emoji detector application from scratch

Section #3:

• recurrent neural networks (RNNs) theory

• using recurrent neural networks (RNNs) with sentiment analysis

These are the topics we'll consider on a one by one basis. Hope you will like it!