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[ DevCourseWeb com ] Udemy - Advanced Computer Vision Replearning, Vae, Gan, Deepfake +
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1 - Introduction
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
10 - PEARL
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
11 - PEARL and NPILD code
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
npild_pearl
mock_npild_pearl.ipynb
non_parrametric_softmax_crossentropy.ipynb
npild_pearl.ipynb
12 - SimCLR
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
13 - SupCon & SimCLR Code
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
selfsupcon_supcon
mock_selfsupcon_loss.ipynb
selfsupcon_supcon.ipynb
14 - Practice Test Covering Upto DUVRL
1 - Test Numpy skill.html
2 - Test what you have learned.html
15 - Few More ideas in Visual Representation Learning
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
16 - DeepFakes & Beyond Second Part of the courseInProgress
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
2 - Data Science in Numpy & Pytorch code Background
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
background
numpy_v1.ipynb
torch_intro.ipynb
torch_training_process.ipynb
torch_v2.ipynb
3 - Pytorch AutoGrad
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
4 - Faiss & Image Search Hands on Dont skip
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
image_search
basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb
basic_search_with_resnet_imagenet.ipynb
cluster_search_v1.ipynb
faiss.ipynb
5 - SOTA Data augmentation Hands On
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
augmentations
cutmix.ipynb
randaug.ipynb
6 - Softmax think out of the box Hands On
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
soft_softmax
not_so_soft.ipynb
7 - Prelearing & UVR by Context Prediction Theory
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
8 - JigSaw
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
9 - NonParametric Instance Level DiscriminationNPILD hands on
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
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