TorchVision Quick Start - Building an Image Classifier in 10 Minutes
Offered By: Samuel Chan via YouTube
Course Description
Overview
Learn to build an image classifier distinguishing between orangutans and komodo dragons using PyTorch's torchvision library in this 17-minute tutorial. Utilize a pre-trained ResNet model, a popular architecture for computer vision tasks among deep learning practitioners. Gain a quick introduction to PyTorch Vision's pre-trained models and get inspired to explore the library further. While not an exhaustive guide, this concise video aims to spark interest in computer vision applications. For a more comprehensive understanding, consider exploring additional resources such as the PyTorch deep learning with GPU series, visual explanations of image convolution, and PyTorch and CUDA installation guides.
Syllabus
TorchVision Quick Start: Image classifier in 10 mins
Taught by
Samuel Chan
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