Cheatsheet with: popular architectures in several domains + code examples
(under development)
Cheatsheet with popular architectures in several domains and code examples
| Architecture name | Short description | Domain, where introduced | Image | Paper |
|---|---|---|---|---|
| General | ||||
| MLP (Multi Layer Perceptron) | basic fully connected neural net, nonlinearities and depth and width of network allow to learn hierarchical distributed representations | general | ||
| VAE (Variational Auto Encoder) | ||||
| GAN (Generative Adversarial Network) | ||||
| CycleGAN | ||||
| Siamese Network (metric learning) | ||||
| Attention Mechanism | ||||
| Images | ||||
| CNN | digit recognizing | |||
| ResNet | ||||
| Inception | ||||
| U-Net | ||||
| Images (localization) | ||||
| Multi Shot Detection | ||||
| Singlle Shot Detection | ||||
| Images (Segmentation) | ||||
| Sequence modelling | ||||
| RNN (Recurrent Neural Network) | ||||
| LSTM (Long Short Term Memory) | ||||
| GRU (Gated Reccurent Unit) | ||||
| Natural language processing | ||||
| Transformers | ||||
| Graphs | ||||
| DGNet | ||||
| Point Clouds | ||||
| PointNet | ||||
| Other | ||||
| WReNet (Wild Relational Network) |