Configuring Python Environment for Machine Learning
When doing machine learning, the Python environment is like a clean bench in a laboratory: if the reagents are mixed or the temperature is incorrect, even the best model will not produce stable results. A project often needs to lock down the Python version, NumPy, PyTorch, CUDA, and dozens of other dependencies. If any one … Read more