PyTorch Deep Dive Podcast скачать в хорошем качестве

PyTorch Deep Dive Podcast

PyTorch for deep learning and machine learning, particularly focusing on fundamental concepts and practical implementation. The primary source, a course transcript, explains when to use machine learning for problems with long lists of rules, distinguishes between traditional machine learning for structured data and deep learning for unstructured data (like natural language and images), and introduces tensors as the fundamental numerical building block. Additionally, the material covers practical aspects such as data preparation (including train-test splits and data loaders), model construction using nn.Module and layers like nn.Linear and CNN components (like nn.Conv2d and pooling), and the core training loop steps: forward pass, calculating loss, backpropagation, and optimizer steps. Finally, one supplementary source provides internal details of PyTorch, explaining that a tensor is the central data structure, encompassing data and metadata like size, type (dtype), and device (CPU or CUDA). #pytorch #cuda #nvidia #llm #training #learning #research