wudikua/ps
自己实现的深度学习训练框架，纯java实现，没有过多的第三方依赖，可分布式训练
This open-source project helps data scientists, machine learning engineers, and researchers train deep learning models using Java, especially for classification tasks like click-through rate prediction or image recognition. You input your labeled training and testing datasets, and the system outputs a trained deep learning model along with real-time visualizations of the training progress, such as loss and accuracy. It's designed for users familiar with deep learning concepts who need a Java-based solution for building and deploying models.
103 stars. No commits in the last 6 months.
Use this if you need to train deep neural networks for binary or multi-class classification problems, prefer a pure Java environment with minimal external dependencies, and require both single-machine multi-CPU and distributed training capabilities.
Not ideal if you primarily work with Python or other deep learning frameworks, or if your projects require a very broad range of pre-built advanced deep learning layers like recurrent neural networks, transformers, or complex feature engineering tools.
Stars
103
Forks
34
Language
Java
License
—
Category
Last pushed
Jul 30, 2018
Commits (30d)
0
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