- Lab 1: Perceptron using Scikit-learn and Keras tuned by keras-tuner for California Housing dataset
- Lab 2: Multi-layer perceptron (MLP) for Face-mask classification images
- Lab 3: Convolitional Neural Networks (CNN) with keras-tuner (Hyperband), Inception for Face-mask classification
- Lab 4: Autoencoders, denoising autoencoders, hashing encodings from images.
- Lab 5: RNN, LSTM, GRU, Convolutional, neural networks for Google stock prices forecast
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University machine learning labs. MLP, convolutional neural networks, autoencoders, RNN, LSTM, GRU
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