- 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)
No comments:
Post a Comment