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

•  ~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