Deep Learning
#Computers
A supervised learning technique that uses multiple perceptron units for each node before feeding into one output node
Topics
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