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These are are the different neural networks coded in vanilla Java without using any deep learning framework

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Deep Neural Networks

These are are the different neural networks coded in vanilla Java without using any deep learning framework

This code was written jointly by Felipe Gutierrez (git_id: felipegb94) and Nikhil S. Nakhate (git_id: nikhil-nakhate) as a part of the coursework for CS838.

All the neural networks have early stopping implemented in them.

ANN: This folder contains a dataset along with the source files which is the only argument that is required to run the code. The code would handles the sampling into a train_set, tune_set and test_set

CNN: In addition to the source files, this folder also contains a MakeFile for compilation and a run file that includes the parameters to be passed.

The first three params would be the train_set, tune_set and test_set respectively and the fourth param would be size of the images used.

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These are are the different neural networks coded in vanilla Java without using any deep learning framework

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