马里兰大学《深度学习基石》课程(2020) by Soheil Feizi

5368
5
2020-09-19 12:09:08
正在缓冲...
131
43
478
39
https://www.youtube.com/playlist?list=PLHgjs9ncvHi80UCSlSvQe-TK_uOyDv_Jf CMSC 828W: Foundations of Deep Learning University of Maryland, College Park, Fall 2020 Instructor: Soheil Feizi Home:http://www.cs.umd.edu/class/fall2020/cmsc828W/
新浪微博 @爱可可-爱生活 http://weibo.com/fly51fly
视频选集
(1/28)
自动连播
1 review of basic DL models and optimization solvers
01:15:14
2 the role of over parameterization in DL optimization
01:15:35
3 the role of over parameterization in DL optimization (part 2)
01:13:30
4 the implicit bias of gradient descent
01:15:01
5 deep learning generalization
01:15:38
6 deep learning generalization (part II)
01:13:05
7 Neural Tangent Kernels
01:14:52
8 Adversarial Robustness: Formulations, Attacks and Defenses
01:02:33
9 Are Adversarial Examples Inevitable?
01:10:50
10 Provable & Generalizable Adversarial Robustness
01:12:37
11 Poisoning Attacks and Defenses
01:15:09
12 Variational AutoEncoder
01:16:38
13 Generative Adversarial Networks (GANs)
01:12:53
14 Min-Max Optimization (Part I)
01:08:59
15 Min-Max Optimization (Part II)
01:14:21
16 Flow-based Generative Models
01:16:12
17 Domain Adaptation (Part I)
01:08:42
18 Domain Adaptation (Part II)
01:11:32
20 Domain Generalization
01:09:33
21 Self-Supervised-Contrastive Learning
01:05:52
22 Self-Supervised Learning (Part II)
01:13:00
23 Meta Learning
01:04:52
24 RNNs, LSTMs and Transformers by Aya Ismail
01:04:21
25 Deep Learning Interpretations by Aya Ismail
01:05:42
27 Reinforcement Learning (Part I)
01:06:17
28 Reinforcement Learning (Part II)
01:09:18
29 Reinforcement Learning
01:09:23
Course Summary
05:55
客服
顶部
赛事库 课堂 2021拜年纪