This project focuses on how to design a MNIST neural network to predict handwritten digits and use PyQT5 to design a UI interface to achieve visualization. Therefore, the pre-test effect of the ...
Model checkpoints are stored in the run directory, which is set as {train.save_path}/{train.run_name}. The path variables can be configured in setup.yaml. In demo ...
Abstract: The MNIST dataset has become a standard benchmark for learning, classification and computer vision systems. Contributing to its widespread adoption are the understandable and intuitive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results