Java Deep Learning Cookbook
Deep Learning is a trending topic in AI currently, as it allows you to make faster and more accurate predictions using the power of neural networks. This book will teach you the process of neural network design, and show you how to develop efficient deep learning applications using Deeplearning4j through practical and easy to implement recipes.
Offered by
Difficulty Level
Intermediate
Completion Time
10h8m
Language
English
About Book
Who Is This Book For?
If you are a data scientist, machine learning developer, or a deep learning enthusiast who wants to implement deep learning models in Java, this book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to get the most out of this book.
Java Deep Learning Cookbook
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h8m total length
Introduction to Deep Learning in Java
Data Extraction, Transform and Loading
Building Deep Neural Networks for Binary classification
Building Convolutional Neural Networks
Implementing NLP
Constructing LTSM Network for time series
Constructing LTSM Neural network for sequence classification
Performing Anomaly detection on unsupervised data
Using RL4J for Reinforcement learning
Developing applications in distributed environment
Applying Transfer Learning to network models
Benchmarking and Neural Network Optimization
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