Coursera: Deep Learning
课程简介
- 所属大学：Stanford
- 先修要求：机器学习基础 + Python
- 编程语言：Python
- 课程难度：🌟🌟🌟🌟
- 预计学时：80 小时
吴恩达在 Coursera 开设的另一门网红课程，学习者无数，堪称圣经级的深度学习入门课。深入浅出的讲解，眼花缭乱的 Project。从最基础的神经网络，到 CNN, RNN，再到最近大热的 Transformer。学完这门课，你将初步掌握深度学习领域必备的知识和技能，并且可以在 Kaggle 中参加自己感兴趣的比赛，在实践中锻炼自己。
课程资源
- 课程网站：https://www.coursera.org/specializations/deep-learning
- 课程视频：https://www.coursera.org/specializations/deep-learning，B站有搬运
- 课程教材：无
- 课程作业：https://www.coursera.org/specializations/deep-learning
Last update: April 3, 2022
Coursera: Deep Learning
Descriptions
- Offered by: Stanford
- Prerequisites: fundamental machine learning + Python
- Programming Language: Python
- Difficulty: 🌟🌟🌟🌟
- Class Hour: 80 hours
Yet another popular online course offered by Andrew Ng on Coursera. It has attracted many learners and can be seen as the Bible of fundamental deep learning. The course provides well-covered projects, with clear but thorough instructions. The course starts from basic neural networks, to CNN, RNN, and all the way to Transformer, which has been a hot topic these days. After learning this course, you'll be equipped with the basic knowledge and skills for deep learning, and you may want to participate in Kaggle competitions to practice your skills with real tasks.
Couse Resources
- Course Website: https://www.coursera.org/specializations/deep-learning
- Lecture Videos: https://www.coursera.org/specializations/deep-learning, can be found on Bilibili
- Text Book: none
- Assignments: https://www.coursera.org/specializations/deep-learning
Last update: October 25, 2022