GitHub topics: resilient-backpropagation
vtramo/neural-networks-experiments-from-scratch
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.
Language: Python - Size: 12.2 MB - Last synced at: 18 days ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
Related Keywords
activation-functions
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backpropagation
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batch-learning
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classification-problem
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early-stopping
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gradient-based-algorithm
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improved-resilient-backpropagation
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irprop
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kfold-cross-validation
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minibatch
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momentum
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neural-network
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numpy
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online-learning
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python
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python3
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resilient-backpropagation
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rprop
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softmax
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stochastic-gradient-descent
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