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PyTorch Image Model Framework

Explore the PyTorch Image Model framework in this lesson. Understand its key architectures like ResNet50 and EfficientNet-B0, learn about validation metrics, licensing terms, and how it supports researchers and developers in training image classification models efficiently.

Overview

Nowadays, developers use PyTorch or Tensorflow frameworks to train image classification models. This course focuses on PyTorch implementation via an open-source Python library called the PyTorch Image Model.

The PyTorch Image Model (timm) is a deep-learning framework created by Ross Wightman. It contains models, utilities, data loaders, and scripts related to computer vision. Most of the base implementation relies on the state-of-the-art algorithms adapted for PyTorch.

The main objective of ...