deeplearning4j-examples
neural-network-number-guesser
| deeplearning4j-examples | neural-network-number-guesser | |
|---|---|---|
| 4 | 1 | |
| 5 | 1 | |
| - | - | |
| 0.5 | 10.0 | |
| over 3 years ago | over 2 years ago | |
| Java | Java | |
| GNU General Public License v3.0 or later | - |
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deeplearning4j-examples
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Installing deeplearning4j and nd4j
Then for the project target, pick our mvn-project-template: https://github.com/deeplearning4j/deeplearning4j-examples/tree/master/mvn-project-template
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Anybody here using Java for machine learning?
I'm building from source because I made a tiny change to dl4j to get an example running. It's not really anything that should be committed as it wouldn't be a solution to the issue. (Just a hack around. :) )
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Machine Learning in Kotlin (Question)
While KotlinDL seems to be a good solution by Jetbrains, I would personally stick to Java frameworks like DL4J for a better community support and likely more features.
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Deeplearning4j regression help
There are some examples that show how to use it here, including regressions, is that what you are looking for?
neural-network-number-guesser
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Anybody here using Java for machine learning?
I made a shitty neural net for guessing hand drawn numbers. It only works about half the time and takes ages to train. In my experience the OOP-ness of Java really slows down the process and it'd probably just be faster by using more functional code. But I'm sure I could've done it better with more experience (am still in school). Here's the repo if you want to check it out: https://github.com/d3nosaur/neural-network-number-guesser
What are some alternatives?
kotlindl - High-level Deep Learning Framework written in Kotlin and inspired by Keras
Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java
conclave-samples
Tribuo - Tribuo - A Java machine learning library
kotlin-data-science-resources - Curation of libraries, media, links, and other resources to use Kotlin for data science
neureka - A platform independent tensor library with autograd for the JVM
Deeplearning4j - Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.
Smile - Statistical Machine Intelligence & Learning Engine