这款处理器被命名为 美普思 S8200 。据该公司介绍，“它将紧密耦合的人工智能引擎与精简指令集架构 - V 应用核心相整合，可同时加速向量与矩阵运算负载；支持 PyTorch 和 Tensor 两大主流框架；借助一致性集群平铺技术，算力可实现从几十万亿次运算每秒（TOPS）到数百万亿次运算每秒的灵活扩展。” ...

Dr. James McCaffrey of Microsoft Research presents the fundamental concepts of tensors necessary to establish a solid foundation for learning how to create PyTorch neural networks, based on his ...

Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

核心原理似乎是一道编程题：在无环有向图(Directed Graph)中， 每个节点记录了所有前向节点。自动梯度相当于：从叶子结点出发，使用拓扑排序遍历所有父节点，每个节点上存有一个函数，当遍历该节点时，调用函数更新节点上的一个数值。 题中提到的“一个函数”是反向求导函数，“一个数值”即梯度。 原理大概就是这个，下面展开讲一下。 先看两个基本问题： ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...