PickVidsPractical Deep Learning for Coders: Lesson 1
推荐理由
The lectures are super hands on - Jeremy actually fires up a jupyter notebook and runs code which often surprises him
说明
这是2022年由Jeremy Howard发布的一部系列课程，主题归在Machine learning & deep learning。它讲的是practical deep learning这一支里的具体问题，而不是把整个领域扫一遍。适合第一次接触、还没有先修课的人。内容上可以概括成：Lesson 1 of fast.ai's Practical Deep Learning for Coders, taught by Jeremy Howard. It takes coders from running code in a Jupyter notebook straight into training a real image model.这些读者给出的理由，核心是：HN considers the course one of the best hands-on ways into deep learning, praising the code-first teaching style.它贴着当时的技术，看的时候要记得那是那个年份的判断。从2022年到2023年，有2位不同的读者在2个不同月份把它推荐出来，其中明确叫别人去看的有1次。建议顺着系列往下看，后面的集用得着前面的定义，不适合抽一节就跳走。如果已经会了基本定义，就把注意力放在它怎么把practical deep learning变成能跟着复述的例子。
视频信息
- 频道
- Jeremy Howard
- 时长
- 1 小时 22 分
- 发布年份
- 2022
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