3 posts
A complete log of setting up a PaddleOCR development environment from scratch: Conda isolation, PaddlePaddle GPU installation, CLI verification, and Python API integration.
This post introduces the MNIST-ROT (Rotated MNIST) dataset, a standard benchmark for evaluating rotation-equivariant algorithms, and provides the necessary download links.
An overview of common PyTorch learning rate scheduling strategies and how to implement them to optimize the training process, using StepLR as a practical example.