/Deep-Learning-Jot

A personal deep learning study note

Primary LanguageJupyter NotebookMIT LicenseMIT

GitHub last commit (branch) GitHub

Deep-Learning-Jot

A personal deep learning study note

List

1_AutoEncoder

2_Convolutional Neural Network

  • Basic/Multi-layer Perceptron(MLP)
  • AlexNet
  • LeNet
  • VGG
  • ResNet

3_Recurrent Neural Network

  • Embedding 101
  • Embedding RNN
  • simpleRNN & LSTM & GRU
  • RNN with daynamic sequences

4_Generative Adversarial Network

5_Reinforcement Learning

6_Segmentation

  • Unet

7_Transformer

  • spacy 101
  • Seq2Seq

8_AutoEncoder

  • AutoEncoder

Expected List

CNN

  • VGG
  • ResNet
  • Auto-encoder
  • deep variational autoencoders (VAE)

RNN

  • Transformer
  • Attention

Pattern Extract:

  • Auto-encoder
  • deep variational autoencoders (VAE)

RF:

  • DQN
  • actor-critic
  • multi-agent RF

object detection:

  • FCN
  • Unet
  • Deeplabv3

Contrastive Learning:

  • simCLR
  • GAN

ML

  • RandomforestRegression
  • XGboost
  • AdaBoost
  • Fourier transform