The objective of this repository is to provide a learning and experimentation environment to better understand the details and fundamental concepts of neural networks by building neural networks from scratch.
python neural-network numpy python3 rprop momentum backpropagation online-learning stochastic-gradient-descent softmax minibatch batch-learning kfold-cross-validation activation-functions early-stopping classification-problem gradient-based-algorithm irprop resilient-backpropagation improved-resilient-backpropagation
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Updated
Jul 22, 2023 - Python