Implementation of most popular ML algorithms
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Implementation of Multilayer perceptron. Used naive Stochastic Gradient Descent to minimize Loss function.
Also, you can check your progress via progress bar (implemented via tqdm)
Don't support GPU and parallel evaluations.
- Batch normalization layer
- NAG optimizer
- Nadam optimizer
- MiniBatch SGD
- CNN or RNN
Other optimizations overviewed here
Main classes:
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Implementation of Matrix factorizations algorithms.