TorchVision Quick Start: Image classifier in 10 mins

In this video, we'll be building a classifier that can classify images of orangutans and komodo dragons using PyTorch's torchvision library. We'll use a pretrained ResNet model, a very popular architecture for computer vision among deep learning practitioners.
This is not an exhaustive, comprehensive pytorch guide to computer vision. For that, you should check out my pytorch deep learning with gpu series. This is a short 10 to 15 min video that introduces you to pytorch vision's pretrained models, and its main objective is to get you excited enough to go and further explore the library on your own.
Videos I recommend watching:
- Hands On PyTorch w/ GPU series: • Hands on PyTorch Tutorial
- How does image convolution work? (explained visually): • Kernels 101 | Convolut...
- Install PyTorch and CUDA: • GPU-based deep learnin...

[@shogun8-9]

Thank you, very insightful

[@cutycat2000]

Thanks 🙏

[@danielcaoili6890]

Jesus is first

[@SamuelChan]

Ok I did not see that coming