Why Use Multi-GPU Parallel Training In simple terms, there are two reasons: the first is that a model cannot fit on a single GPU, but can run completely on two or more GPUs (like the early AlexNet). The second is that parallel computation across multiple GPUs can speed up training. To become a “master alchemist”, … Read more
KNN algorithm, or K-Nearest Neighbor (KNN) classification algorithm, is simply a method of classification by measuring the distance between different feature values. KNN is a very fundamental algorithm in the field of machine learning that can solve classification or regression problems. If you are just starting to learn machine learning, KNN is a very good … Read more
This article is about 4200 words long, recommended reading time is over 10 minutes. This article provides a detailed introduction to several key normalization techniques in deep learning. Normalization is a key concept in deep learning that ensures faster convergence, more stable training, and better overall performance. PyTorch includes several normalization layers, and we will … Read more