An implementation of various metaheuristics adapted to train neural networks
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Updated
May 2, 2023 - Python
An implementation of various metaheuristics adapted to train neural networks
Testing various examples and code for Machine Learning using TensorFlow
Assignments for the Machine Learning course (COL774) at IITD
Backpropogation algorithm implemented in Python 3
This gradient decent library has not only a determination function, but it has emotions too, as an add on! (Currently the emotions are anger, surprise and excitement)(By emotions, I JUST MEAN BUILT-IN FUNCTIONS FOR EFFICIENT TRAINING)
Built from scratch neural network library using only NumPy
The Deep Learning exercises provided in DataCamp
Implementation of Logistic Regression considering a single Neural Network Node
Implementation of a simple neural network with one hidden layer and training with backpropagation
Numpy NeuralNetworks with Keras like interface
Visualization Tool For Keras
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