Home

Welcome to the DeepLearning tour wiki!

The tour sequence

-Linear Classifier

• Linear Regression
• Gradient Descent (No framework)
• Forward props & Back props
• Multilayer perceptron
• Neural Net (No framework, only numpy)
  • vectors & tensors
  • Different neural net layers (dense, dropout, maxpooling layers)
• Data preprocessing (house price dataset, catvsdog, IMDB)
• CNN (Pytorch, TF, Keras) -> classify whales photos
• Callbacks (early stopping and etc)
• TF Dashboard
• Training model in the cloud
• Sentiment Analysis (binary classification)
• Sentiment analysis (multi classification)
• Word2vec
• Generate song lyrics and stories
• Hyperparameter tuning
• Feature engineering
• Linear regression Kaggle competition using the above knowledge
• GAN basic
• StarGAN
• CycleGAN
• Reinforcement learning