Java Deep Learning Projects
You will build full-fledged, deep learning applications with Java and different open-source libraries. Master numerical computing, deep learning, and the latest Java programming features to carry out complex advanced tasks. This book is filled with best practices/tips after every project to help you optimize your deep learning models with ease.
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Difficulty Level
Intermediate
Completion Time
14h32m
Language
English
About Book
Who Is This Book For?
If you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need! Get ready to build advanced deep learning models to carry out complex numerical computations. Some basic understanding of machine learning concepts and a working knowledge of Java are required.
Java Deep Learning Projects
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h32m total length
Getting Started with Deep Learning
Cancer Type Prediction using Recurrent Type Networks
Image Classification using Convolutional Neural Networks
Sentiment Analysis using Word2Vec and LSTM Networks
Image Classification using Transfer Learning
Real-Time Object Detection Using YOLO, JavaCV, and DL4J
Stock Price Prediction Using the LSTM Network
Distributed Deep Learning – Video Classification Using Convolutional-LSTM Networks
Using Deep Reinforcement Learning for a GridWorld Game
Movie Recommendation System using Factorization Machines
Discussion, Current Trends, and Outlook
Related Resources
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