我目前就处于/曾经处于这种情况。我相信市面上肯定还有其他专门针对开发者的资源，但我现在正在读的一本书是 Seth Weidman 写的《Deep Learning From Scratch》（深度学习入门）。他采用了一种不同的方法，通过三种不同的方式来解释概念：数学方法、使用图表以及展示代码。我喜欢这种方式，因为它能让……
I am/was in this scenario. I'm sure there are other resources out there specifically aimed at developers, but a book I'm reading now is "Deep Learning From Scratch" by Seth Weidman. He takes a different approach, by explaining concepts in three distinct methods: a mathematical way, by using diagrams and by showing the code. I like this approach because it allows…
如果你只想买一本书，通过写代码从零开始全面学习深度学习（包括最新的技术），那它必须是《Dive into Deep Learning》（动手学深度学习）[0]。真的被严重低估了，知名度不够高。[0] https://d2l.ai/
If you want just one book to learn all things deep learning from scratch with coding including the latest techniques, it should be Dive into deep learning [0]. Really underrated and not well-known. [0] https://d2l.ai/
1. Nature of Code——模拟和建模自然界中的许多事物。2. Data Science from Scratch——从零开始构建一个数据科学库。3. Deep Learning from Scratch——从零开始构建一个深度学习库。4. Realm of Racket 和 5. Land of Lisp——用 Racket 和 Lisp 开发游戏。6. The Little Schemer——不仅教你递归思维，还……
1. Nature of Code- simulating and modeling many things in nature. 2. Data Science from Scratch- building a Data Science library from scratch. 3. Deep Learning from Scratch- building a Deep Learning library from scratch. 4. Realm of Racket and 5. Land of Lisp- developing games with Racket and Lisp. 6. The Little Schemer- not only teaches you to think recursively, but also…
我认为所有认真的研究人员都曾经从零开始实现过核心的深度学习算法。我知道我自己就做过。有两本书专门就是干这个的：1. Deep Learning from Scratch 2. Data Science from Scratch。在这些书里，你用 Python 从零开始实现深度学习 pipeline 的每个部分。GitHub 上还有一个叫 Minitorch 的项目，它教你……的内部工作原理
I think all serious researchers have implemented core Deep Learning algorithms from scratch. I know I have. There are two books that do exactly this: 1. Deep Learning from Scratch 2. Data Science from Scratch In these books, you implement each part of the DL pipeline, from scratch, in Python. There is also a GitHub project call Minitorch that teaches you the innet workings of…
https://fleuret.org/dlc/ 上的讲义棒极了。还有两本书：《Data Science from Scratch》和《Deep Learning from Scratch》。它们更加侧重动手实践，但你将用 Python 构建所有的底层细节，并学到很多东西。
The handouts at https://fleuret.org/dlc/ are fantastic. Also two books: Data Science from Scratch and Deep Learning from Scratch. They are more hand-on, but you'll build all the low-level things in Python and learn a lot.
我目前就处于/曾经处于这种情况。我相信市面上肯定还有其他专门针对开发者的资源，但我现在正在读的一本书是 Seth Weidman 写的《Deep Learning From Scratch》（深度学习入门）。他采用了一种不同的方法，通过三种不同的方式来解释概念：数学方法、使用图表以及展示代码。我喜欢这种方式，因为它能让……
I am/was in this scenario. I'm sure there are other resources out there specifically aimed at developers, but a book I'm reading now is "Deep Learning From Scratch" by Seth Weidman. He takes a different approach, by explaining concepts in three distinct methods: a mathematical way, by using diagrams and by showing the code. I like this approach because it allows…
如果你只想买一本书，通过写代码从零开始全面学习深度学习（包括最新的技术），那它必须是《Dive into Deep Learning》（动手学深度学习）[0]。真的被严重低估了，知名度不够高。[0] https://d2l.ai/
If you want just one book to learn all things deep learning from scratch with coding including the latest techniques, it should be Dive into deep learning [0]. Really underrated and not well-known. [0] https://d2l.ai/
1. Nature of Code——模拟和建模自然界中的许多事物。2. Data Science from Scratch——从零开始构建一个数据科学库。3. Deep Learning from Scratch——从零开始构建一个深度学习库。4. Realm of Racket 和 5. Land of Lisp——用 Racket 和 Lisp 开发游戏。6. The Little Schemer——不仅教你递归思维，还……
1. Nature of Code- simulating and modeling many things in nature. 2. Data Science from Scratch- building a Data Science library from scratch. 3. Deep Learning from Scratch- building a Deep Learning library from scratch. 4. Realm of Racket and 5. Land of Lisp- developing games with Racket and Lisp. 6. The Little Schemer- not only teaches you to think recursively, but also…
我认为所有认真的研究人员都曾经从零开始实现过核心的深度学习算法。我知道我自己就做过。有两本书专门就是干这个的：1. Deep Learning from Scratch 2. Data Science from Scratch。在这些书里，你用 Python 从零开始实现深度学习 pipeline 的每个部分。GitHub 上还有一个叫 Minitorch 的项目，它教你……的内部工作原理
I think all serious researchers have implemented core Deep Learning algorithms from scratch. I know I have. There are two books that do exactly this: 1. Deep Learning from Scratch 2. Data Science from Scratch In these books, you implement each part of the DL pipeline, from scratch, in Python. There is also a GitHub project call Minitorch that teaches you the innet workings of…
https://fleuret.org/dlc/ 上的讲义棒极了。还有两本书：《Data Science from Scratch》和《Deep Learning from Scratch》。它们更加侧重动手实践，但你将用 Python 构建所有的底层细节，并学到很多东西。
The handouts at https://fleuret.org/dlc/ are fantastic. Also two books: Data Science from Scratch and Deep Learning from Scratch. They are more hand-on, but you'll build all the low-level things in Python and learn a lot.
还有一本叫《Deep Learning from Scratch》的书。
There is also the book Deep Learning from Scratch.