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Checked by:
Category:
Language:
English
Total Size:
1.5 GB
Info Hash:
84875470909E6E71FC3AFF3FDBB0647B6965B94B
Added By:
Added:
Oct. 23, 2023, 12:45 a.m.
Stats:
|
(Last updated: May 18, 2025, 12:31 a.m.)
| File | Size |
|---|---|
| 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 |
Name
DL
Uploader
Size
S/L
Added
-
2.7 GB
[11
/
3]
2025-01-13
| Uploaded by FreeCourseWeb | Size 2.7 GB | Health [ 11 /3 ] | Added 2025-01-13 |
-
3.8 GB
[3
/
17]
2024-10-24
| Uploaded by FreeCourseWeb | Size 3.8 GB | Health [ 3 /17 ] | Added 2024-10-24 |
-
1.7 GB
[20
/
5]
2024-02-29
| Uploaded by FreeCourseWeb | Size 1.7 GB | Health [ 20 /5 ] | Added 2024-02-29 |
-
354.4 MB
[19
/
10]
2024-02-15
| Uploaded by FreeCourseWeb | Size 354.4 MB | Health [ 19 /10 ] | Added 2024-02-15 |
NOTE
SOURCE: Udemy Advanced Computer Vision Replearning Vae Gan Deepfake
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COVER
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MEDIAINFO
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