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Udemy Advanced Computer Vision Replearning Vae Gan Deepfake

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Downloads:

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Type:

Tutorials

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Udemy Advanced Computer Vision Replearning Vae Gan Deepfake

Language:

English

Category:

Other

Size:

1.5 GB

Added:

Oct. 23, 2023, 12:45 a.m.

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Seeders: 13, Leechers: 3 (Last updated: 10 months, 4 weeks ago)

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Files:

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

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