dive into deep learning - lecture 4: logistic/softmax regression and cross entropy loss with pytorch
Published 3 years ago • 3.2K plays • Length 18:43Download video MP4
Download video MP3
Similar videos
-
55:11
dl4cv@wis (spring 2021) tutorial 1: linear regression & softmax classifier
-
11:50
deep dive into softmax and cross entropy | pytorch explained
-
31:23
dive into deep learning - lecture 1: pytorch tensor basics, operations, functions, and broadcasting
-
11:48
softmax regression (c2w3l08)
-
25:40
l8.9 softmax regression -- code example using pytorch
-
6:33
unit 4.1 | logistic regression for multiple classes | part 5 | the cross entropy loss function
-
18:17
pytorch tutorial 11 - softmax and cross entropy
-
10:46
the cross entropy loss function
-
1:40:09
programming for ai (ai504, fall 2020), practice 3: pytorch & neural networks
-
0:16
deep learning series part 2 - why is it called “deep learning”?
-
11:02
7.9: tensorflow.js color classifier: softmax and cross entropy
-
6:56
unit 4.1 | logistic regression for multiple classes | part 1 | the softmax regression model
-
1:05:52
lecture 21 - deep learning foundations by soheil feizi : self-supervised/contrastive learning
-
1:35:38
5 probability 1: entropy, (naive) bayes, cross-entropy loss (mlvu2019)
-
![[open world lifelong learning course] lecture #10: the role of soft hardware & pytorch avalanche](https://i.ytimg.com/vi/5kERUnaYtzw/mqdefault.jpg)
1:46:07
[open world lifelong learning course] lecture #10: the role of soft hardware & pytorch avalanche
-
19:40
l8.8 softmax regression derivatives for gradient descent
-
53:39
lecture 3 (part i) - "manual" neural networks
-
27:36
dive into deep learning - lecture 3: build a simple neural network from scratch with pytorch