Dive-into-Deep-Learning-Course

Course Content

1. Linear Neural Networks:

   1. Linear Regression as a Neural Network
   2. Softmax Regression as a Neural Network

2. Multilayer Perceptrons:

   1. Multilayer Perceptrons (MLP)
   2. L2 Regularization
   3. Dropout Regularization
   4. Numerical Stability
   5. Kaggle Project: Predicting House Prices

3. Convolutional Neural Netowrks:

   1. Introduction to Convolution
   2. Convolutional Neural Networks (LeNet)
   3. Deep Neural Networks (AlexNet)
   4. Networks Using Blocks (VGG)
   5. Network in Network (NiN)
   6. Multi-Brach Networks (GoogLeNet)
   7. Batch Normalization
   8. Residual Networks (ResNet)
   9. Densely Connected Networks (DenseNet)