java-deep-learning-solutions-'s Introduction

Java-Deep-Learning-Solutions-

Java Deep Learning Solutions[Video], published by Packt

Java Deep Learning Solutions [Video]

This is the code repository for Java Deep Learning Solutions [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

In this course, you start by installing Deep Learning software for Java. You learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. The course will take you into Neural Networks, working with Perceptron, XOR, and Gradient Descent on code examples. It then covers Convolutional Networks with extraction, Max pooling, and Softmax. You'll get hands-on with working examples at the end of each section. It also covers Recurrent Neural Network, explaining all the features of its Architecture. Finally, you'll learn about Word2Vec's different models and how to work with them via practical examples.

What You Will Learn

Install various Deep Learning applications
Work with Perceptron in Neural Network
Implement the XOR using Neural Network
Use Recurrent Network and its Architecture

Assumed Knowledge

If you are a machine learning expert looking to expand your knowledge by delving into the practical aspects of Deep Learning with Java, then this is the course you need. An understanding of Deep learning concepts would be an advantage but not necessary. A strong understanding of the Java Programming Language is mandatory for the video course

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