Deep learning tutorials (2nd ed.)
- CNN and AlexNet
- TensorFlow basics
- Logistic regression
- GoogLeNet
- AlphaGo: MCTS+CNN
- Let's implement MLP!
- Let's play with you OWN DATASET
- Regularization methods
- Optimization methods
- Restricted Boltzmann Machine
- Let's implement denoising autoencoder
- Semantic segmentation: FCN, DeconvNet, DeepLab with atrous conv
- Let's implement a simple CNN
- Let's implement a basic CNN
- Let's implement semantic segmentation
- Weakly supervised localization: Global average pooling
- Implement MLP and CNN on your OWN DATASET
- Denoising deconvolutional neural network
- Image detection (RCNN, SPPnet, FastRCNN, FasterRCNN)
- Other detections (YOLO, AttentionNet)
- Let's use TensorBoards
- RNN from Colah's blog
- Visual QnQ: DPPnet + MCBP!
- Super resolution
- Deep reinforcement learning