Exercise (Training)
Explore practical exercises that guide you through training image classification models with PyTorch. Learn to configure training commands and parameters for models like ResNet50 and EfficientNet, handling tasks such as setting epochs, classes, and advanced techniques like MixUp and Model EMA.
We'll cover the following...
We'll cover the following...
The following exercises will cover the training processes in the PyTorch Image Model framework. There are multiple scenarios in this exercise. Replace all the placeholders with the correct command.
You can click on the “Show Answer” button below each scenario to reveal the answer.
Exercise 1
Given a training script called exercise1.py, figure out the corresponding command to train a new image classification model with the following properties:
| Properties | Expected value |
|---|---|
| Model | resnet50 |
| Number of classes | 10 |