[ DevCourseWeb.com ] Udemy - Advanced Computer Vision Replearning, Vae, Gan, Deepfake +

1. ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/5 - Data Science in Numpy Part1 Code.mp459.07 MB
2. ~Get Your Files Here !/13 - SupCon & SimCLR Code/51 - Mocking SimCLRCode.mp457.61 MB
3. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/19 - CutMix Code.mp454.55 MB
4. ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/10 - Image SearchBasic & Cluster.mp453.89 MB
5. ~Get Your Files Here !/11 - PEARL and NPILD code/43 - NCE & Memory Bank Code.mp453.2 MB
6. ~Get Your Files Here !/3 - Pytorch AutoGrad/8 - Pytorch AutoGrad.mp451.09 MB
7. ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/57 - Generative Vs Discriminative AI With VAE Example will be separate course.mp450.59 MB
8. ~Get Your Files Here !/13 - SupCon & SimCLR Code/52 - SimClr and Supervised Contrastive Learning Code.mp444.83 MB
9. ~Get Your Files Here !/11 - PEARL and NPILD code/44 - Network and Training NPILD & Pearl Code.mp440.29 MB
10. ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp439.3 MB
11. ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/56 - Introduction to DeepFake & Beyond.mp438.69 MB
12. ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/12 - Basic Image Search Code.mp438.61 MB
13. ~Get Your Files Here !/1 - Introduction/2 - Applications.mp438.3 MB
14. ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/7 - Data Science in Pytorch Part 2Code.mp438.09 MB
15. ~Get Your Files Here !/3 - Pytorch AutoGrad/9 - Custom CNN in Pytorch.mp436.43 MB
16. ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp432.56 MB
17. ~Get Your Files Here !/1 - Introduction/1 - Course Overview.mp431.51 MB
18. ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/6 - Data Science in Pytorch Part1 Code.mp431.5 MB
19. ~Get Your Files Here !/6 - Softmax think out of the box Hands On/23 - Temperature Scaling & soft softmax code.mp431.35 MB
20. ~Get Your Files Here !/13 - SupCon & SimCLR Code/50 - Supervised Contrastive Learning.mp431.02 MB
21. ~Get Your Files Here !/10 - PEARL/42 - PEARL Results.mp430.27 MB
22. ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/53 - Vissl & Albumentations.mp430.09 MB
23. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/20 - RandAugment.mp428.79 MB
24. ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/38 - Non Parametric Softmax CrossEntropy Code.mp428.62 MB
25. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/16 - CutMix Paper Overview.mp428.27 MB
26. ~Get Your Files Here !/6 - Softmax think out of the box Hands On/22 - SoftMax Think out of the box.mp427.72 MB
27. ~Get Your Files Here !/12 - SimCLR/45 - SIMCLR Overview.mp427.41 MB
28. ~Get Your Files Here !/10 - PEARL/39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp427.29 MB
29. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/15 - Why Data Augmentation & History.mp426.7 MB
30. ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/14 - Cluster Search Code.mp423.69 MB
31. ~Get Your Files Here !/8 - JigSaw/29 - Network and Training process.mp422.65 MB
32. ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/27 - Results of UVR by Context Prediction.mp421.97 MB
33. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/21 - RandAugment Code.mp421.89 MB
34. ~Get Your Files Here !/10 - PEARL/41 - PEARL Loss.mp420.43 MB
35. ~Get Your Files Here !/1 - Introduction/4 - Course Structure & Important Notes.mp419.73 MB
36. ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp419.08 MB
37. ~Get Your Files Here !/1 - Introduction/3 - Google Colab Setup.mp418.93 MB
38. ~Get Your Files Here !/12 - SimCLR/46 - SIMCLR & Multiview Batch.mp418.11 MB
39. ~Get Your Files Here !/12 - SimCLR/47 - SimCLR Algorithm and Loss.mp416.21 MB
40. ~Get Your Files Here !/8 - JigSaw/30 - Results of JigSaw.mp415.64 MB
41. ~Get Your Files Here !/8 - JigSaw/28 - Overview of Jigsaw.mp415.14 MB
42. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/17 - Results of CutMix.mp415.09 MB
43. ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/34 - Noise contrastive estimation NCE Part 1.mp415.08 MB
44. ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/37 - NPILD Result.mp414.29 MB
45. ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/54 - Tips From My Expeience.mp414.23 MB
46. ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/55 - Few More ideas.mp413.88 MB
47. ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/18 - CutMix Algorithm.mp411.84 MB
48. ~Get Your Files Here !/12 - SimCLR/49 - Softmax is invariant under translation Important.mp411.56 MB
49. ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/32 - NPILD Training Process.mp411.3 MB
50. ~Get Your Files Here !/10 - PEARL/40 - PEARL Overview Part 2.mp411.11 MB