The hands-on deep learning live course has completed the first three parts!
In the past 4 months, Dr. Mu Li, a senior chief scientist at Amazon has explained the basics of deep learning, convolutional neural networks, and computer vision. Since the course started, over 10,000 people have participated in the live learning, and the course replay on Bilibili has exceeded 920,000 views.
This weekend, the course will enter the fourth part, “Recurrent Neural Networks”, followed by the fifth part “Attention Mechanism”, let us recommend this possibly the hottest deep learning public course of the year for those who haven’t enrolled yet.
The course content is based on the Chinese second edition of “Hands-On Deep Learning” (the book is expected to be released at the end of this year), with seven major modules including: basics of deep learning, convolutional neural networks, computer vision, recurrent neural networks, attention mechanism, natural language processing, and optimization algorithms.The course not only discusses model algorithms but also explains how to implement every detail using PyTorch, helping everyone gain firsthand experience on real data.
Based on the current progress, the course is expected to continue until September, with live sessions every Saturday and Sunday from 13:00 to 14:30.
-
Course official website: http://courses.d2l.ai/zh-v2/
-
Live address: https://jmq.h5.xeknow.com/s/3nk3lb -
Course replay: https://space.bilibili.com/1567748478
During this course, after each module’s explanation, there will be an in-class competition to help everyone master how to use the knowledge gained to solve practical problems. Participants are also welcome to share their code for discussion after each competition. The winners of each competition will receive a signed copy of “Hands-On Deep Learning” from Dr. Mu.
This week’s course will introduce the third course competition: target detection. For those who haven’t completed the course content learning, please hurry up and catch up.
Course Schedule for Part Four “Recurrent Neural Networks”
Everyone is welcome to join the course discussion group for collaborative learning and discussion. We will also publish course live notifications in the group as soon as possible.
If the group has exceeded the number limit, add the AI assistant: syncedai2, syncedai3, syncedai4, or syncedai6, with the note “Hands-On Learning” to join.