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