Very basic neural network implementation.
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Updated
Sep 13, 2019 - Java
Very basic neural network implementation.
Program module for parallel training of convolutional neural networks using DL4J & CUDA 🦄
A simple demo of LVQ4J usage on the Iris Data Set
Create Binary Decision Trees from given dataframes to generate, through backpropagation in neuralnetworks, a model capable of making a prediction to a certain case.
LVQ (Learning Vector Quantization) library for Java
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