共 3 条相关资源。
面向中文读者的深度学习交互式教材：概念、数学、可运行代码三位一体，从线性回归一路讲到注意力机制与优化算法，配套 B 站视频课程，被国内高校广泛采用。An interactive deep learning book for Chinese readers: concepts, math and runnable code in one place, from linear regression to attention, with companion video courses.
前 Tesla AI 总监 Andrej Karpathy 的「从零到一」系列：从反向传播手推开始，逐步用 PyTorch 手写 micrograd、makemore、GPT，最终从零实现一个类 GPT-2 的语言模型——理解 Transformer 内部原理的最佳路径。Andrej Karpathy's Zero-to-Hero series: from hand-deriving backprop to building GPT-2 from scratch in PyTorch — the best path to truly understand Transformers.
Jeremy Howard 的实战深度学习课程：第一节课就训练出可用模型，再逐步深入原理。理念是「先跑起来再理解」，配套 fastai 库把最佳实践封装到几行代码。Jeremy Howard's top-down deep learning course: train a working model in lesson one, then dig into how it works. Comes with the fastai library.