Machine Learning

Deep Learning

  1. Feedforward Neural Networks (FFNN) / Multilayer Perceptrons (MLP)
  2. Convolutional Neural Networks (CNN) / ConvNets
  3. Recurrent Neural Networks (RNN)
  4. Long Short-Term Memory (LSTM) Networks
  5. Gated Recurrent Units (GRU)
  6. Autoencoders (AE)
  7. Generative Adversarial Networks (GANs)
  8. Transformer Networks (TN)
  9. Graph Neural Networks (GNNs)
  10. Residual Networks (ResNets)
  11. Densely Connected Convolutional Networks (DenseNets)

AI Agents

Machine-Learning Force Fields

Useful links

MetaCentrum

History

A man adjusting Frank Rosenblatt’s Perceptron, an early iteration of a “neural network” computer, at the Cornell Aeronautical Laboratory in Buffalo around 1960.

Gallery

 

Univerzita Karlova, Matematicko-fyzikální fakulta
Fyzikální ústav UK, Oddělení fyziky biomolekul
Ke Karlovu 3, 121 16 Praha 2
IČ: 00216208, DIČ: CZ00216208