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Autoencoder neural network with encoder, bottleneck, and decoder layers for dimensionality reduction
RNN/LSTM architecture for sequence processing with input, hidden, and output layers over time
CNN architecture with convolutional, pooling, and fully connected layers for image classification
Comprehensive ML training with nested repeat loops for optimization