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GitHub / tpiasek / neuralNetworks_twoLayer_XOR

Simple two-layer neural network written in Python mainly to solve the XOR problem. NN implemented in two versions: without tensorflow usage and with tensorflow package. It uses back-propagation algorithm and sigmoidal activation functions. In more advanced versions other techniques like mini-batch, adaptive learning ratio etc. implemented.

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Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Python
Size: 143 KB
Dependencies parsed at: Pending

Created at: 5 months ago
Updated at: 5 months ago
Pushed at: 5 months ago
Last synced at: 5 months ago

Topics: back-propagation, feedforward-neural-network, neural-networks, xor

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