Multi-class neural networks
Alternatives to backpropagation
Regularising neural networks
Normalising neural networks
Addressing gradient problems with the Rectified Linear Unit (ReLU)
Pre-training neural networks
Probabilistic neural networks
Convolutional layers for neural networks
Autoencoders and Variational Autoencoders (VAE)
Restricted Boltzmann Machines (RBMs)
Generative Adversarial Networks (GANs)
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