Building Machine Learning models using Tensorflow, Keras and PyTorch
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Updated
Feb 18, 2020 - Jupyter Notebook
Building Machine Learning models using Tensorflow, Keras and PyTorch
Mnist dataset classifier neuronal network writen in C programming language
Vectorized neural network components and analytical backpropagation in pure NumPy: Linear layers, ReLU, Softmax Cross-Entropy, and MNIST training with early stopping.
Collection of 3 CI projects: Neuroevolution with genetic algorithms for game AI, Fuzzy C-Means clustering, and neural network digit recognition on MNIST.
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