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Multi-layer perceptrons with sigmoids and backpropagation
Regularising neural networks
Normalising neural networks
Addressing gradient problems with the Rectified Linear Unit (ReLU)
Alternatives to backpropagation
Multi-class neural networks
Probabilistic neural networks
Pre-training neural networks
Convolutional layers for neural networks
Attention in neural networks
Autoencoders and Variational Autoencoders (VAE)
Restricted Boltzmann Machines (RBMs)
Self-organising maps
Generative neural networks
Recurrent neural networks
Recurrent Neural Network (RNN) encoders and decoders
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