[ FreeCourseWeb.com ] Pytorch - Advanced Deep Learning (Computer Vision, DataAug)

~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/001 Data Science in Numpy - Part1 (Code).mp4

~Get Your Files Here !/13 SupCon & SimCLR (Code)/002 Mocking SimCLR(Code).mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/005 CutMix (Code).mp4

~Get Your Files Here !/04 Faiss & Image Search (Hands on)/001 Image Search(Basic & Cluster).mp4

~Get Your Files Here !/11 PEARL and NPILD (code)/001 NCE & Memory Bank (Code).mp4

~Get Your Files Here !/03 Pytorch AutoGrad/001 Pytorch AutoGrad.mp4

~Get Your Files Here !/13 SupCon & SimCLR (Code)/003 SimClr and Supervised Contrastive Learning (Code).mp4

~Get Your Files Here !/11 PEARL and NPILD (code)/002 Network and Training NPILD & Pearl (Code).mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4

~Get Your Files Here !/01 Introduction/001 Why Should You Take This Course_.mp4

~Get Your Files Here !/04 Faiss & Image Search (Hands on)/004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4

~Get Your Files Here !/04 Faiss & Image Search (Hands on)/003 Basic Image Search (Code).mp4

~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/003 Data Science in Pytorch - Part 2(Code).mp4

~Get Your Files Here !/13 SupCon & SimCLR (Code)/001 Supervised Contrastive Learning.mp4

~Get Your Files Here !/01 Introduction/003 Applications.mp4

~Get Your Files Here !/03 Pytorch AutoGrad/002 Custom CNN in Pytorch.mp4

~Get Your Files Here !/10 PEARL/004 PEARL Results.mp4

~Get Your Files Here !/15 Bonus Lectures/001 Vissl & Albumentations.mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/006 RandAugment.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/008 Non Parametric Softmax (CrossEntropy) (Code).mp4

~Get Your Files Here !/12 SimCLR/001 SIMCLR Overview.mp4

~Get Your Files Here !/10 PEARL/001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.mp4

~Get Your Files Here !/02 Data Science in Numpy & Pytorch (code) - Background/002 Data Science in Pytorch - Part1 (Code).mp4

~Get Your Files Here !/06 Softmax think out of the box (Hands On)/002 Temperature Scaling & soft softmax (code).mp4

~Get Your Files Here !/08 JigSaw/002 Network and Training process.mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/002 CutMix Paper Overview.mp4

~Get Your Files Here !/06 Softmax think out of the box (Hands On)/001 SoftMax Think out of the box.mp4

~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/003 Results of UVR by Context Prediction.mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/007 RandAugment (Code).mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/001 Why Data Augmentation & History.mp4

~Get Your Files Here !/10 PEARL/003 PEARL Loss.mp4

~Get Your Files Here !/01 Introduction/004 Course Structure & Important Notes.mp4

~Get Your Files Here !/01 Introduction/002 Google Colab Setup.mp4

~Get Your Files Here !/12 SimCLR/002 SIMCLR & Multiview Batch.mp4

~Get Your Files Here !/04 Faiss & Image Search (Hands on)/005 Cluster Search (Code).mp4

~Get Your Files Here !/12 SimCLR/003 SimCLR Algorithm and Loss.mp4

~Get Your Files Here !/08 JigSaw/003 Results of JigSaw.mp4

~Get Your Files Here !/08 JigSaw/001 Overview of Jigsaw.mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/003 Results of CutMix.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/004 Noise contrastive estimation (NCE) - Part 1.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/007 NPILD Result.mp4

~Get Your Files Here !/15 Bonus Lectures/002 Tips From My Expeience.mp4

~Get Your Files Here !/15 Bonus Lectures/003 Congratulation & Few More ideas.mp4

~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/002 Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4

~Get Your Files Here !/05 SOTA Data augmentation (Hands On)/004 CutMix Algorithm.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/002 NPILD Training Process.mp4

~Get Your Files Here !/10 PEARL/002 PEARL Overview Part 2.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/006 NPILD Put it all together.mp4

~Get Your Files Here !/09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/003 Non Parametric Softmax.mp4

~Get Your Files Here !/07 Prelearing & UVR by Context Prediction (Theory)/001 Pretext Task.mp4