PacktPublishing/Java-Deep-Learning-Cookbook

Java Deep Learning Cookbook, published by Packt

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This project provides practical code examples for building deep learning applications using the Java programming language. It takes various raw data inputs like text, images, or time-series data and demonstrates how to build neural networks for tasks such as classification, natural language processing, or anomaly detection. This resource is for software developers and data scientists who want to integrate deep learning capabilities into Java-based systems.

No commits in the last 6 months.

Use this if you are a Java developer looking for hands-on examples and recipes to implement deep learning models using the deeplearning4j library.

Not ideal if you are looking for a conceptual introduction to deep learning theory or prefer using other programming languages like Python for your machine learning projects.

deep-learning-development Java-programming neural-network-implementation natural-language-processing time-series-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 21 / 25

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Language

Java

License

MIT

Last pushed

Jul 22, 2023

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