Can Analysis of the running PyTorch neural network models be done by using log files?
Monday, 17 June 2024
by Agnieszka Ulrich
The analysis of running PyTorch neural network models can indeed be performed through the use of log files. This approach is essential for monitoring, debugging, and optimizing neural network models during their training and inference phases. Log files provide a comprehensive record of various metrics, including loss values, accuracy, gradients, and other relevant parameters that
- Published in Artificial Intelligence, EITC/AI/DLPP Deep Learning with Python and PyTorch, Data, Datasets
Tagged under:
Artificial Intelligence, Experiment Tracking, Logging, Neural Networks, PyTorch, TensorBoard