Udemy Advanced Computer Vision Replearning Vae Gan Deepfake
Seeders : 13 Leechers : 3
| Torrent Hash : | 84875470909E6E71FC3AFF3FDBB0647B6965B94B |
| Torrent Added : | at Oct. 23, 2023, 12:45 a.m. in Other |
| Torrent Size : | 1.5 GB |
Knox
Udemy Advanced Computer Vision Replearning Vae Gan Deepfake
Fast And Direct Download Safely And Anonymously!
Fast And Direct Download Safely And Anonymously!
Note :
Please Update (Trackers Info) Before Start " Udemy Advanced Computer Vision Replearning Vae Gan Deepfake" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Udemy Advanced Computer Vision Replearning Vae Gan Deepfake
Get Bonus Downloads Here.url -
1 - Course Overview English.srt -
1 - Course Overview.mp4 -
2 - Applications English.srt -
2 - Applications.mp4 -
3 - Google Colab Setup English.srt -
3 - Google Colab Setup.mp4 -
4 - Course Structure & Important Notes English.srt -
4 - Course Structure & Important Notes.mp4 -
39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1 English.srt -
39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp4 -
40 - PEARL Overview Part 2 English.srt -
40 - PEARL Overview Part 2.mp4 -
41 - PEARL Loss English.srt -
41 - PEARL Loss.mp4 -
42 - PEARL Results English.srt -
42 - PEARL Results.mp4 -
43 - NCE & Memory Bank Code English.srt -
43 - NCE & Memory Bank Code.mp4 -
44 - Network and Training NPILD & Pearl Code English.srt -
44 - Network and Training NPILD & Pearl Code.mp4 -
mock_npild_pearl.ipynb -
non_parrametric_softmax_crossentropy.ipynb -
npild_pearl.ipynb -
45 - SIMCLR Overview English.srt -
45 - SIMCLR Overview.mp4 -
46 - SIMCLR & Multiview Batch English.srt -
46 - SIMCLR & Multiview Batch.mp4 -
47 - SimCLR Algorithm and Loss English.srt -
47 - SimCLR Algorithm and Loss.mp4 -
48 - Training Details English.srt -
48 - Training Details.mp4 -
49 - Softmax is invariant under translation Important English.srt -
49 - Softmax is invariant under translation Important.mp4 -
50 - Supervised Contrastive Learning English.srt -
50 - Supervised Contrastive Learning.mp4 -
51 - Mocking SimCLRCode English.srt -
51 - Mocking SimCLRCode.mp4 -
52 - SimClr and Supervised Contrastive Learning Code English.srt -
52 - SimClr and Supervised Contrastive Learning Code.mp4 -
mock_selfsupcon_loss.ipynb -
selfsupcon_supcon.ipynb -
1 - Test Numpy skill.html -
2 - Test what you have learned.html -
53 - Vissl & Albumentations English.srt -
53 - Vissl & Albumentations.mp4 -
54 - Tips From My Expeience English.srt -
54 - Tips From My Expeience.mp4 -
55 - Few More ideas English.srt -
55 - Few More ideas.mp4 -
56 - Introduction to DeepFake & Beyond English.srt -
56 - Introduction to DeepFake & Beyond.mp4 -
57 - Generative Vs Discriminative AI With VAE Example will be separate course English.srt -
57 - Generative Vs Discriminative AI With VAE Example will be separate course.mp4 -
1 - Quiz on Numpy.html -
5 - Data Science in Numpy Part1 Code English.srt -
5 - Data Science in Numpy Part1 Code.mp4 -
6 - Data Science in Pytorch Part1 Code English.srt -
6 - Data Science in Pytorch Part1 Code.mp4 -
7 - Data Science in Pytorch Part 2Code English.srt -
7 - Data Science in Pytorch Part 2Code.mp4 -
numpy_v1.ipynb -
torch_intro.ipynb -
torch_training_process.ipynb -
torch_v2.ipynb -
8 - Pytorch AutoGrad English.srt -
8 - Pytorch AutoGrad.mp4 -
8 - torch-grad.ipynb -
9 - Custom CNN in Pytorch English.srt -
9 - Custom CNN in Pytorch.mp4 -
9 - custom-CNN.ipynb -
10 - Image SearchBasic & Cluster English.srt -
10 - Image SearchBasic & Cluster.mp4 -
11 - Faiss Overview English.srt -
11 - Faiss Overview.mp4 -
12 - Basic Image Search Code English.srt -
12 - Basic Image Search Code.mp4 -
13 - Basic Image Search With pertained Resnet cifar10 dataset Code English.srt -
13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp4 -
14 - Cluster Search Code English.srt -
14 - Cluster Search Code.mp4 -
basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb -
basic_search_with_resnet_imagenet.ipynb -
cluster_search_v1.ipynb -
faiss.ipynb -
15 - Why Data Augmentation & History English.srt -
15 - Why Data Augmentation & History.mp4 -
16 - CutMix Paper Overview English.srt -
16 - CutMix Paper Overview.mp4 -
17 - Results of CutMix English.srt -
17 - Results of CutMix.mp4 -
18 - CutMix Algorithm English.srt -
18 - CutMix Algorithm.mp4 -
19 - CutMix Code English.srt -
19 - CutMix Code.mp4 -
20 - RandAugment English.srt -
20 - RandAugment.mp4 -
21 - RandAugment Code English.srt -
21 - RandAugment Code.mp4 -
cutmix.ipynb -
randaug.ipynb -
22 - SoftMax Think out of the box English.srt -
22 - SoftMax Think out of the box.mp4 -
23 - Temperature Scaling & soft softmax code English.srt -
23 - Temperature Scaling & soft softmax code.mp4 -
24 - Summery English.srt -
24 - Summery.mp4 -
not_so_soft.ipynb -
25 - Pretext Task English.srt -
25 - Pretext Task.mp4 -
26 - Overview of Unsupervised Visual Representation Learning by Context Prediction English.srt -
26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 -
27 - Results of UVR by Context Prediction English.srt -
27 - Results of UVR by Context Prediction.mp4 -
28 - Overview of Jigsaw English.srt -
28 - Overview of Jigsaw.mp4 -
29 - Network and Training process English.srt -
29 - Network and Training process.mp4 -
30 - Results of JigSaw English.srt -
30 - Results of JigSaw.mp4 -
31 - NonParametric Instancelevel Discrimination & Metric learning approach English.srt -
31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp4 -
32 - NPILD Training Process English.srt -
32 - NPILD Training Process.mp4 -
33 - Non Parametric Softmax English.srt -
33 - Non Parametric Softmax.mp4 -
34 - Noise contrastive estimation NCE Part 1 English.srt -
34 - Noise contrastive estimation NCE Part 1.mp4 -
35 - FULL NCE Loss English.srt -
35 - FULL NCE Loss.mp4 -
36 - NPILD Put it all together English.srt -
36 - NPILD Put it all together.mp4 -
37 - NPILD Result English.srt -
37 - NPILD Result.mp4 -
38 - Non Parametric Softmax CrossEntropy Code English.srt -
38 - Non Parametric Softmax CrossEntropy Code.mp4 -
Bonus Resources.txt -
Please login or create a FREE account to post comments
Get Bonus Downloads Here.url -
182 bytes
1 - Course Overview English.srt -
4.9 KB
1 - Course Overview.mp4 -
31.5 MB
2 - Applications English.srt -
4.1 KB
2 - Applications.mp4 -
38.3 MB
3 - Google Colab Setup English.srt -
3.7 KB
3 - Google Colab Setup.mp4 -
18.9 MB
4 - Course Structure & Important Notes English.srt -
3.9 KB
4 - Course Structure & Important Notes.mp4 -
19.7 MB
39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1 English.srt -
5.1 KB
39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp4 -
27.3 MB
40 - PEARL Overview Part 2 English.srt -
3.9 KB
40 - PEARL Overview Part 2.mp4 -
11.1 MB
41 - PEARL Loss English.srt -
6.8 KB
41 - PEARL Loss.mp4 -
20.4 MB
42 - PEARL Results English.srt -
5.9 KB
42 - PEARL Results.mp4 -
30.3 MB
43 - NCE & Memory Bank Code English.srt -
10.4 KB
43 - NCE & Memory Bank Code.mp4 -
53.2 MB
44 - Network and Training NPILD & Pearl Code English.srt -
5.8 KB
44 - Network and Training NPILD & Pearl Code.mp4 -
40.3 MB
mock_npild_pearl.ipynb -
35.8 KB
non_parrametric_softmax_crossentropy.ipynb -
7.3 KB
npild_pearl.ipynb -
808.3 KB
45 - SIMCLR Overview English.srt -
4.1 KB
45 - SIMCLR Overview.mp4 -
27.4 MB
46 - SIMCLR & Multiview Batch English.srt -
4.0 KB
46 - SIMCLR & Multiview Batch.mp4 -
18.1 MB
47 - SimCLR Algorithm and Loss English.srt -
3.4 KB
47 - SimCLR Algorithm and Loss.mp4 -
16.2 MB
48 - Training Details English.srt -
1.8 KB
48 - Training Details.mp4 -
4.2 MB
49 - Softmax is invariant under translation Important English.srt -
2.3 KB
49 - Softmax is invariant under translation Important.mp4 -
11.6 MB
50 - Supervised Contrastive Learning English.srt -
6.4 KB
50 - Supervised Contrastive Learning.mp4 -
31.0 MB
51 - Mocking SimCLRCode English.srt -
10.9 KB
51 - Mocking SimCLRCode.mp4 -
57.6 MB
52 - SimClr and Supervised Contrastive Learning Code English.srt -
7.4 KB
52 - SimClr and Supervised Contrastive Learning Code.mp4 -
44.8 MB
mock_selfsupcon_loss.ipynb -
14.2 KB
selfsupcon_supcon.ipynb -
453.4 KB
1 - Test Numpy skill.html -
26 bytes
2 - Test what you have learned.html -
33 bytes
53 - Vissl & Albumentations English.srt -
3.5 KB
53 - Vissl & Albumentations.mp4 -
30.1 MB
54 - Tips From My Expeience English.srt -
5.8 KB
54 - Tips From My Expeience.mp4 -
14.2 MB
55 - Few More ideas English.srt -
4.8 KB
55 - Few More ideas.mp4 -
13.9 MB
56 - Introduction to DeepFake & Beyond English.srt -
6.1 KB
56 - Introduction to DeepFake & Beyond.mp4 -
38.7 MB
57 - Generative Vs Discriminative AI With VAE Example will be separate course English.srt -
7.3 KB
57 - Generative Vs Discriminative AI With VAE Example will be separate course.mp4 -
50.6 MB
1 - Quiz on Numpy.html -
108 bytes
5 - Data Science in Numpy Part1 Code English.srt -
13.1 KB
5 - Data Science in Numpy Part1 Code.mp4 -
59.1 MB
6 - Data Science in Pytorch Part1 Code English.srt -
7.0 KB
6 - Data Science in Pytorch Part1 Code.mp4 -
31.5 MB
7 - Data Science in Pytorch Part 2Code English.srt -
8.2 KB
7 - Data Science in Pytorch Part 2Code.mp4 -
38.1 MB
numpy_v1.ipynb -
20.4 KB
torch_intro.ipynb -
9.2 KB
torch_training_process.ipynb -
64.0 KB
torch_v2.ipynb -
12.7 KB
8 - Pytorch AutoGrad English.srt -
7.7 KB
8 - Pytorch AutoGrad.mp4 -
51.1 MB
8 - torch-grad.ipynb -
8.1 KB
9 - Custom CNN in Pytorch English.srt -
7.0 KB
9 - Custom CNN in Pytorch.mp4 -
36.4 MB
9 - custom-CNN.ipynb -
120.6 KB
10 - Image SearchBasic & Cluster English.srt -
7.8 KB
10 - Image SearchBasic & Cluster.mp4 -
53.9 MB
11 - Faiss Overview English.srt -
1.6 KB
11 - Faiss Overview.mp4 -
10.2 MB
12 - Basic Image Search Code English.srt -
6.5 KB
12 - Basic Image Search Code.mp4 -
38.6 MB
13 - Basic Image Search With pertained Resnet cifar10 dataset Code English.srt -
4.7 KB
13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp4 -
32.6 MB
14 - Cluster Search Code English.srt -
3.5 KB
14 - Cluster Search Code.mp4 -
23.7 MB
basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb -
66.2 KB
basic_search_with_resnet_imagenet.ipynb -
69.4 KB
cluster_search_v1.ipynb -
60.4 KB
faiss.ipynb -
319.0 KB
15 - Why Data Augmentation & History English.srt -
5.2 KB
15 - Why Data Augmentation & History.mp4 -
26.7 MB
16 - CutMix Paper Overview English.srt -
3.8 KB
16 - CutMix Paper Overview.mp4 -
28.3 MB
17 - Results of CutMix English.srt -
2.8 KB
17 - Results of CutMix.mp4 -
15.1 MB
18 - CutMix Algorithm English.srt -
2.7 KB
18 - CutMix Algorithm.mp4 -
11.8 MB
19 - CutMix Code English.srt -
8.8 KB
19 - CutMix Code.mp4 -
54.6 MB
20 - RandAugment English.srt -
4.8 KB
20 - RandAugment.mp4 -
28.8 MB
21 - RandAugment Code English.srt -
3.4 KB
21 - RandAugment Code.mp4 -
21.9 MB
cutmix.ipynb -
437.5 KB
randaug.ipynb -
97.2 KB
22 - SoftMax Think out of the box English.srt -
5.6 KB
22 - SoftMax Think out of the box.mp4 -
27.7 MB
23 - Temperature Scaling & soft softmax code English.srt -
4.3 KB
23 - Temperature Scaling & soft softmax code.mp4 -
31.3 MB
24 - Summery English.srt -
628 bytes
24 - Summery.mp4 -
9.3 MB
not_so_soft.ipynb -
53.6 KB
25 - Pretext Task English.srt -
2.9 KB
25 - Pretext Task.mp4 -
6.9 MB
26 - Overview of Unsupervised Visual Representation Learning by Context Prediction English.srt -
2.4 KB
26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 -
19.1 MB
27 - Results of UVR by Context Prediction English.srt -
5.0 KB
27 - Results of UVR by Context Prediction.mp4 -
22.0 MB
28 - Overview of Jigsaw English.srt -
2.0 KB
28 - Overview of Jigsaw.mp4 -
15.1 MB
29 - Network and Training process English.srt -
5.1 KB
29 - Network and Training process.mp4 -
22.6 MB
30 - Results of JigSaw English.srt -
2.2 KB
30 - Results of JigSaw.mp4 -
15.6 MB
31 - NonParametric Instancelevel Discrimination & Metric learning approach English.srt -
6.6 KB
31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp4 -
39.3 MB
32 - NPILD Training Process English.srt -
3.6 KB
32 - NPILD Training Process.mp4 -
11.3 MB
33 - Non Parametric Softmax English.srt -
3.4 KB
33 - Non Parametric Softmax.mp4 -
9.3 MB
34 - Noise contrastive estimation NCE Part 1 English.srt -
5.0 KB
34 - Noise contrastive estimation NCE Part 1.mp4 -
15.1 MB
35 - FULL NCE Loss English.srt -
1.6 KB
35 - FULL NCE Loss.mp4 -
5.1 MB
36 - NPILD Put it all together English.srt -
3.6 KB
36 - NPILD Put it all together.mp4 -
10.7 MB
37 - NPILD Result English.srt -
2.3 KB
37 - NPILD Result.mp4 -
14.3 MB
38 - Non Parametric Softmax CrossEntropy Code English.srt -
5.9 KB
38 - Non Parametric Softmax CrossEntropy Code.mp4 -
28.6 MB
Bonus Resources.txt -
386 bytes
Related torrents
| Torrent Name | Added | Size | Seed | Leech | Health |
|---|---|---|---|---|---|
| 2025-02-21 | 1.4 GB | 5 | 11 | ||
| 2025-02-21 | 1.1 GB | 2 | 2 | ||
| 2025-01-13 | 2.7 GB | 11 | 3 | ||
| 2024-10-24 | 3.8 GB | 3 | 17 | ||
| 2024-10-24 | 2.3 GB | 0 | 3 | ||
| 2024-04-26 | 3.4 GB | 5 | 0 | ||
| 2024-04-03 | 2.9 GB | 15 | 3 | ||
| 2024-03-05 | 6.4 GB | 2 | 1 | ||
| 2024-02-29 | 1.7 GB | 20 | 5 | ||
| 2024-02-15 | 354.4 MB | 19 | 10 |
Note :
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Udemy Advanced Computer Vision Replearning Vae Gan Deepfake Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Udemy Advanced Computer Vision Replearning Vae Gan Deepfake via Magnet Download Link.Comments (0 Comments)
Please login or create a FREE account to post comments
Advertisement
