| ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/5 - Data Science in Numpy Part1 Code.mp4 | 59.07 MB |
| ~Get Your Files Here !/13 - SupCon & SimCLR Code/51 - Mocking SimCLRCode.mp4 | 57.61 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/19 - CutMix Code.mp4 | 54.55 MB |
| ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/10 - Image SearchBasic & Cluster.mp4 | 53.89 MB |
| ~Get Your Files Here !/11 - PEARL and NPILD code/43 - NCE & Memory Bank Code.mp4 | 53.2 MB |
| ~Get Your Files Here !/3 - Pytorch AutoGrad/8 - Pytorch AutoGrad.mp4 | 51.09 MB |
| ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/57 - Generative Vs Discriminative AI With VAE Example will be separate course.mp4 | 50.59 MB |
| ~Get Your Files Here !/13 - SupCon & SimCLR Code/52 - SimClr and Supervised Contrastive Learning Code.mp4 | 44.83 MB |
| ~Get Your Files Here !/11 - PEARL and NPILD code/44 - Network and Training NPILD & Pearl Code.mp4 | 40.29 MB |
| ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp4 | 39.3 MB |
| ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/56 - Introduction to DeepFake & Beyond.mp4 | 38.69 MB |
| ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/12 - Basic Image Search Code.mp4 | 38.61 MB |
| ~Get Your Files Here !/1 - Introduction/2 - Applications.mp4 | 38.3 MB |
| ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/7 - Data Science in Pytorch Part 2Code.mp4 | 38.09 MB |
| ~Get Your Files Here !/3 - Pytorch AutoGrad/9 - Custom CNN in Pytorch.mp4 | 36.43 MB |
| ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp4 | 32.56 MB |
| ~Get Your Files Here !/1 - Introduction/1 - Course Overview.mp4 | 31.51 MB |
| ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/6 - Data Science in Pytorch Part1 Code.mp4 | 31.5 MB |
| ~Get Your Files Here !/6 - Softmax think out of the box Hands On/23 - Temperature Scaling & soft softmax code.mp4 | 31.35 MB |
| ~Get Your Files Here !/13 - SupCon & SimCLR Code/50 - Supervised Contrastive Learning.mp4 | 31.02 MB |
| ~Get Your Files Here !/10 - PEARL/42 - PEARL Results.mp4 | 30.27 MB |
| ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/53 - Vissl & Albumentations.mp4 | 30.09 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/20 - RandAugment.mp4 | 28.79 MB |
| ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/38 - Non Parametric Softmax CrossEntropy Code.mp4 | 28.62 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/16 - CutMix Paper Overview.mp4 | 28.27 MB |
| ~Get Your Files Here !/6 - Softmax think out of the box Hands On/22 - SoftMax Think out of the box.mp4 | 27.72 MB |
| ~Get Your Files Here !/12 - SimCLR/45 - SIMCLR Overview.mp4 | 27.41 MB |
| ~Get Your Files Here !/10 - PEARL/39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp4 | 27.29 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/15 - Why Data Augmentation & History.mp4 | 26.7 MB |
| ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/14 - Cluster Search Code.mp4 | 23.69 MB |
| ~Get Your Files Here !/8 - JigSaw/29 - Network and Training process.mp4 | 22.65 MB |
| ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/27 - Results of UVR by Context Prediction.mp4 | 21.97 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/21 - RandAugment Code.mp4 | 21.89 MB |
| ~Get Your Files Here !/10 - PEARL/41 - PEARL Loss.mp4 | 20.43 MB |
| ~Get Your Files Here !/1 - Introduction/4 - Course Structure & Important Notes.mp4 | 19.73 MB |
| ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 | 19.08 MB |
| ~Get Your Files Here !/1 - Introduction/3 - Google Colab Setup.mp4 | 18.93 MB |
| ~Get Your Files Here !/12 - SimCLR/46 - SIMCLR & Multiview Batch.mp4 | 18.11 MB |
| ~Get Your Files Here !/12 - SimCLR/47 - SimCLR Algorithm and Loss.mp4 | 16.21 MB |
| ~Get Your Files Here !/8 - JigSaw/30 - Results of JigSaw.mp4 | 15.64 MB |
| ~Get Your Files Here !/8 - JigSaw/28 - Overview of Jigsaw.mp4 | 15.14 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/17 - Results of CutMix.mp4 | 15.09 MB |
| ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/34 - Noise contrastive estimation NCE Part 1.mp4 | 15.08 MB |
| ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/37 - NPILD Result.mp4 | 14.29 MB |
| ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/54 - Tips From My Expeience.mp4 | 14.23 MB |
| ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/55 - Few More ideas.mp4 | 13.88 MB |
| ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/18 - CutMix Algorithm.mp4 | 11.84 MB |
| ~Get Your Files Here !/12 - SimCLR/49 - Softmax is invariant under translation Important.mp4 | 11.56 MB |
| ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/32 - NPILD Training Process.mp4 | 11.3 MB |
| ~Get Your Files Here !/10 - PEARL/40 - PEARL Overview Part 2.mp4 | 11.11 MB |