17 November 2020

Deep learning types

  • Artificial Neural Network (ANN)
  • Convolution Neural Network (CNN)
  • Perceptron (P)
  • Feed Forward (FF)
  • Radial Basis Network (RBN)
  • Deep Feed-forward (DFF)
  • Recurrent Neural Network (RNN)
  • Long / Short Term Memory (LSTM)
  • Gated Recurrent Unit (GRU)
  • Auto Encoder (AE)
  • Variational Autoencoder (VAE)
  • Denoising Autoencoder (DAE)
  • Sparse Autoencoder (SAE)
  • Markov Chain (MC)
  • Hopfield Network (HN)
  • Boltzmann Machine (BM)
  • Restricted Boltzmann Machine (RBM)
  • Deep Belief Network (DBN)
  • Deep Convolutional Network (DCN)
  • Deconvolutional Neural Networks (DN)
  • Deep Convolutional Inverse Graphics Network (DC-IGN)
  • Generative Adversarial Network (GAN)
  • Liquid State Machine (LSM) 
  • Extreme Learning Machine (ELM)
  • Echo State Network (ESN)
  • Deep Residual Network (DRN)
  • Kohonen Networks (KN)
  • Support Vector Machines (SVM)
  • Neural Turing Machine (NTM)

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