CMU 10-414/714: 机器学习系统 Deep Learning Systems

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原视频 https://www.youtube.com/@deeplearningsystemscourse1116/videos 本课程旨在让学生全面了解深度学习系统的构建过程,从现代深度学习系统的高级建模设计到自动微分工具的基本实现,再到有效算法的底层设备级实现。学生将从零开始构建一个完整的深度学习库,使用这个库来构建几种最先进的建模方法,包括卷积网络、循环网络、自注意力模型和生成模型。这将帮助学生更好地利用深度学习库的功能,并能够在需要时进行扩展和自定义。 课程网站: https://dlsyscourse.org 资料与讨论: https://csdiy.wiki Lecture 22跳过不上课,非漏传。
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Deep Learning Systems Online Course Teaser
02:36
Lecture 1 - Introduction and Logistics
57:55
Lecture 2 - ML Refresher Softmax Regression
01:20:01
Lecture 3 (Part I) - Manual Neural Networks
53:39
Lecture 3 (Part II) - Manual Neural Networks
47:41
Lecture 4 - Automatic Differentiation
01:03:35
Lecture 5 - Automatic Differentiation Implementation
01:05:57
Lecture 6 - Fully connected networks, optimization, initialization
01:26:56
Lecture 7 - Neural Network Abstractions
59:59
Lecture 8 - Neural Network Library Implementation
55:49
Lecture 9 - Normalization and Regularization
01:19:30
Lecture 10 - Convolutional Networks
01:08:31
Lecture 11 - Hardware Acceleration
45:22
Lecture 12 - GPU Acceleration
44:21
Lecture 13 - Hardware Acceleration Implemention
50:09
Lecture 14 - Implementing Convolutions
01:19:42
Lecture 15 - Training Large Models
46:38
Lecture 16 - Generative Adversarial Networks
38:06
Lecture 17 - Generative Adversarial Networks Implementation
35:26
Lecture 18 - Sequence Modeling and Recurrent Networks
01:10:48
Lecture 19 - RNN Implementation
54:34
Lecture 20 - Transformers and Attention
01:10:16
Lecture 21 - Transformer Implementation
01:01:13
Lecture 23 - Model Deployment
42:53
Lecture 24 - Machine Learning Compilation and Deployment Implementation
36:37
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赛事库 课堂 2021拜年纪