Deep Learning

A supervised learning technique that uses multiple perceptron units for each node before feeding into one output node

Topics

• Backpropagation
• Neural Activations

Types

• Perceptron
• Feed Forward
• HMM
• CNN
• Radial Basis Network
• Deep Feed Forward
• RNN
• Gated Recurrent Unit
• Auto Encoder
• Variational Autoencoder
• Denoising Autoencoder
• Sparse Autoencoder
• Hopfield Network
• Boltzmann Machine
• Restricted Boltzmann Machine
• Deep Belief Network
• Deconvolutional Network
• Deep Convolutional Inverse Graphics Network
• Generative Adversarial Network
• Liquid State Machine
• Extreme Learning Machine
• Echo State Network
• Deep Residual Network
• Kohonen Network
• SVM
• Neural Turing Machine

$h_{\Theta (\mathbf{X})}=$