- PyTorch Computer Vision
- Computer Vision libraries
- Make predictions + Model 0 results
- Model 1: Better model with non-linearity
- Make and evaluate random predictions with best model
- Confusion matrix
- Model 0: Xây dựng mô hình baseline (Cơ sở)
- Compare model results and training time
- Chuẩn bị dataset
- Setup device agnostic-code
- Model 2: Building a CNN
- Prepare DatalLoader
Hình dạng input và output
Visualize hình ảnh
Setup loss, optimizer and evaluation metrics
Function to time our experiments
Training loop + Training model on batches
Loss,optimizer and evaluation metrics
Train and Test loop
7.3 Loss function, optimizer
7.2 Stepping through nn.MaxPool2d()
Train + Test
7.1 Stepping through nn.Conv2d()
- Save + load best peforming