mercredi 24 fév 2021
Deep learning course
1dlc-video-7-3-denoising-autoencoders
32:55
2dlc-video-7-4-VAE19:18
3dlc-video-8-1-CV-tasks20:14
4dlc-video-8-2-image-classification43:34
5dlc-video-8-3-object-detection20:38
6dlc-video-8-4-segmentation11:07
7dlc-video-8-5-dataloader-and-surgery13:23
8dlc-video-9-1-looking-at-parameters10:26
9dlc-video-9-2-looking-at-activations23:28
10dlc-video-9-3-visualizing-in-input23:20
11dlc-video-9-4-optimizing-inputs24:54
12dlc-video-10-1-autoregression28:05
13dlc-video-10-2-causal-convolutions21:35
14dlc-video-10-3-NVP37:05
15dlc-video-11-1-GAN30:25
16dlc-video-11-2-Wasserstein-GAN23:37
17dlc-video-11-3-conditional-GAN20:28
18dlc-video-11-4-persistence07:51
19dlc-video-12-1-RNN-basics22:30
20dlc-video-12-2-LSTM-and-GRU14:19
21dlc-video-12-3-word-embeddings-and-translation41:24
22dlc-video-13-1-attention-memory-translation21:28
23dlc-video-13-2-attention-mechanisms30:04
24dlc-video-13-3-transformers33:42
25dlc-video-4-1-DAG-networks20:33
26dlc-video-4-2-autograd22:12
27dlc-video-4-3-modules-and-batch-processing14:58
28dlc-video-4-4-convolutions22:47
29dlc-video-4-5-pooling05:13
30dlc-video-4-6-writing-a-module09:51
31dlc-video-5-1-cross-entropy-loss16:30
32dlc-video-5-2-SGD25:48
33dlc-video-5-3-optim06:01
34dlc-video-5-4-l2-l1-penalties13:14
35dlc-video-5-5-initialization19:13
36dlc-video-5-6-architecture-and-training13:12
37dlc-video-5-7-writing-an-autograd-function08:16
38dlc-video-6-1-benefits-of-depth23:43
39dlc-video-6-2-rectifiers03:46
40dlc-video-6-3-dropout12:58
41dlc-video-6-4-batch-normalization18:52
42dlc-video-6-5-residual-networks21:32
43dlc-video-6-6-using-GPUs18:11
44dlc-video-7-1-transposed-convolutions13:40
45dlc-video-7-2-autoencoders15:54
46dlc-video-1-1-from-anns-to-deep-learning25:58
47dlc-video-1-2-current-success28:48
48dlc-video-1-3-what-is-happening10:39
49dlc-video-1-4-tensors-and-linear-regression21:28
50dlc-video-1-5-high-dimension-tensors24:34
51dlc-video-1-6-tensor-internals05:52
52dlc-video-2-1-loss-and-risk19:48
53dlc-video-2-2-overfitting36:01
54dlc-video-2-3-bias-variance-dilemma18:16
55dlc-video-2-4-evaluation-protocols10:54
56dlc-video-2-5-basic-embeddings18:55
57dlc-video-3-1-perceptron28:05
58dlc-video-3-2-LDA13:32
59dlc-video-3-3-features16:52
60dlc-video-3-4-MLP11:14
61dlc-video-3-5-gradient-descent24:03
62dlc-video-3-6-backprop20:18