Neural Networks Implementation using Python.
These are based on Sigmod function (https://en.wikipedia.org/wiki/Sigmoid_function) and Backpropogation Algorithm (https://en.wikipedia.org/wiki/Backpropagation) In Machine Learning - Neural Networks
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1.Single Layer Neural Networks,
File Name:
neural_network_1.py .
2.Two Layer Neural Network, With Slight modifications while adapted form https://github.com/miloharper/multi-layer-neural-network/blob/master/LICENSE.md .
File Name:
neural_network_multilayer_Layers_2.py.
3.Three Layer Neural Network,
File Name:
neural_network_multilayer_Layers_3.py
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Notes: Machine Learning[original(size>20MB):1 | Compressed(size<10MB) :2] and Kalman filter[original(<2MB):3] notes have been added here as PDF format under Creative Commons Attribution 4.0 International License.
File Name(s):
1. praveen_machine_learning_notes_full_cc.pdf (original;size>20MB)
2. praveen_machine_learning_notes_full_cc_compressed.pdf (compressed; size<10MB)
Pages 1 to 5 are not in good understandable format.
Pages 6 to 43 are in good understandable format, with colors representations.
File Name(s):
3. praveen_kalman_filter_notes_cc.pdf (original; size<2MB)
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Contributor : Gorla Praveen