# Deep Architecture Genealogy
There are so many new models and architectures. If you find something interesting and worth paying attention to, please send us a pull requests (PR) and write issues.
`README.md` is automatically generated. Please send PRs on the `Neural Net Arch Genealogy.txt` file.
## Mindmap Coggle Link
https://coggle.it/diagram/Wf5mYoJbsgABUF9P

## Text Version
This is automatically generated. Please send a PR on the `Neural Net Arch Genealogy.txt` file.
* Reinforcement Learning Algorithms
  * A3C, '16.02.06
  * DARLA, '17.07.26
  * ACTKR, '17.08.17
  * c51, '17.10.27
* CNN
  * AlexNet, '12.12
  * VggNet, '14.09
  * GoogLeNet, '14.09
  * ResNet, '15.12
  * DenseNet, '16.08
  * SENet: Squeeze-and-Excitation Networks, '17.09
  * Object Detection
    * R-CNN
    * Fast R-CNN
    * Faster R-CNN
    * Mask R-CNN
    * YOLO
    * SSD
    * R-FCN
  * Semantic Segmentation
    * FCN
    * DeconvNet
    * DeepLab
    * U-Net
  * Super-resolution
    * MemNet
    * FSRCNN
    * SRCNN
    * VDSR
    * DRCN
    * LabSRN
    * EDSR
  * TTS
    * Wavenet, '16.09.12
* Generative Models
  * Autoregressive models
    * MADE, '15.02.12
    * PixelRNN, '16.01.25
    * NADE, '16.05.07
    * PixelCNN, '16.06.16
    * PixelCNN++, '17.01.19
  * Latent variable models
    * VAE, '13.12.20
      * CVAE, '14.06.20
      * AAE, '15.11.18
      * AVB, '17.01.17
      * VQ-VAE, '17.11.2
    * GAN, '14.06.10
      * Variants
        * CGAN, '14.11.06
        * DCGAN, '15.11.19
        * infoGAN, '16.06.12
        * EBGAN, '16.09.11
        * ACGAN, '16.10.30
        * WGAN, '17.01.26
        * BEGAN, '17.02.27
        * WGAN-GP, '17.03.31
        * TripleGAN, '17.03.07
      * Applications
        * Pix2Pix, '16.11.21
        * PPGN, '16.11.30
        * StackGAN, '16.12.10
* RNN
  * LSTM, '97.11
  * GRU, 14.11
  * ACT: Adaptive Computation Time, '17.05
  * S2S: RNN Encoder-Decoder, '14.06
    * Attention: Jointly Learning to Align, '14.09
      * Effective Approaches to Attention, Luong et al. '15.08
      * DCN: Dynamic Coattention Networks, '16.08, DCN+, '17.08
      * Transformer: Attention Is All You Need, '17.06
* Capsule Net, '17.10
* Memory Networks
  * Neural Programming
    * Neural Turing Machine,'14.10
    * Neural Random-Access Machines,'16.02
    * Hierarchical Attentive Memory, '16.02
    * Neural GPUs Learn Algorithms, '16.03
    * Neural Programmer,'16.08
    * Neural Module Networks, '16.06
    * Hybrid Computing, '16.10
  * Memory Networks,'14.10
  * End-to-End Memory Network,'15.03
  * DMN: Dynamic Memory Network, '16.03, DMN+, '16.04  
## Contributions
Your pull requests and issues are always welcome.