Deep Learning with PyTorch course by Zero to Mastery. The notebooks in this repository were made with Google Colab.
- PyTorch fundamentals - in notebook 0.
- PyTorch workflow in notebook 1.
- Classification with PyTorch in notebook 2.
- Computer vision with PyTorch in notebook 3.
- Creating custom datasets and building FoodVision mini 🍔👁 in notebook 4.
- Going from cell mode to script mode in notebook 5 - lerning how to export useful functions to scripts and importing them for later use.
- Transfer learning with PyTorch - leraning how to load and use EfficientNetB0 for feature extraction in notebook 6.
- Experiment tracking with PyTorch in notebook 7
- Replicating the ViT paper using PyTorch in notebook 8
- Deploying two vision apps to 🤗 spaces using gradio in notebook 9
- FoodVision Mini - to classify food images of pizza, steak and sushi can be found here.
- FoodVision Big - to classify 101 classes of dood image based on the Food101 paper, can be found here