FreeCourseWeb com Pytorch Advanced Deep Learning Computer Vision DataAug

FreeCourseWeb com Pytorch Advanced Deep Learning Computer Vision DataAug

Name	[ FreeCourseWeb.com ] Pytorch - Advanced Deep Learning (Computer Vision, DataAug)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.5 GB
Total Files	128
Last Seen	2025-09-10 00:31
Hash	BE7D0CC5BF248ACCE6B80BAE91199B4A45FF465E

/
Get Bonus Downloads Here.url	0.2 KB
/01 Introduction/
001 Why Should You Take This Course_.en.srt	6.5 KB
001 Why Should You Take This Course_.mp4	36.4 MB
002 Google Colab Setup.en.srt	3.8 KB
002 Google Colab Setup.mp4	19.9 MB
003 Applications.en.srt	3.9 KB
003 Applications.mp4	31.9 MB
004 Course Structure & Important Notes.en.srt	4.0 KB
004 Course Structure & Important Notes.mp4	20.7 MB
/.../02 Data Science in Numpy & Pytorch (code) - Background/
001 Data Science in Numpy - Part1 (Code).en.srt	17.2 KB
001 Data Science in Numpy - Part1 (Code).mp4	123.5 MB
002 Data Science in Pytorch - Part1 (Code).en.srt	6.9 KB
002 Data Science in Pytorch - Part1 (Code).mp4	27.4 MB
003 Data Science in Pytorch - Part 2(Code).en.srt	8.3 KB
003 Data Science in Pytorch - Part 2(Code).mp4	34.0 MB
/.../02 Data Science in Numpy & Pytorch (code) - Background/background/
numpy_v1.ipynb	20.9 KB
torch_intro.ipynb	9.4 KB
torch_training_process.ipynb	65.5 KB
torch_v2.ipynb	13.0 KB
/.../03 Pytorch AutoGrad/
001 Pytorch AutoGrad.en.srt	7.7 KB
001 Pytorch AutoGrad.mp4	47.1 MB
002 Custom CNN in Pytorch.en.srt	6.8 KB
002 Custom CNN in Pytorch.mp4	31.7 MB
/.../04 Faiss & Image Search (Hands on)/
001 Image Search(Basic & Cluster).en.srt	8.1 KB
001 Image Search(Basic & Cluster).mp4	56.5 MB
002 Faiss Overview.en.srt	1.6 KB
002 Faiss Overview.mp4	4.3 MB
003 Basic Image Search (Code).en.srt	6.3 KB
003 Basic Image Search (Code).mp4	34.0 MB
004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).en.srt	4.8 KB
004 Basic Image Search With pertained Resnet (cifar-10 dataset) (Code).mp4	34.1 MB
005 Cluster Search (Code).en.srt	3.4 KB
005 Cluster Search (Code).mp4	18.4 MB
/.../04 Faiss & Image Search (Hands on)/image_search/
basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb	67.7 KB
basic_search_with_resnet_imagenet.ipynb	71.0 KB
cluster_search_v1.ipynb	61.8 KB
faiss.ipynb	326.7 KB
/.../05 SOTA Data augmentation (Hands On)/
001 Why Data Augmentation & History.en.srt	5.3 KB
001 Why Data Augmentation & History.mp4	22.9 MB
002 CutMix Paper Overview.en.srt	3.9 KB
002 CutMix Paper Overview.mp4	23.7 MB
003 Results of CutMix.en.srt	2.9 KB
003 Results of CutMix.mp4	15.8 MB
004 CutMix Algorithm.en.srt	2.8 KB
004 CutMix Algorithm.mp4	12.4 MB
005 CutMix (Code).en.srt	9.1 KB
005 CutMix (Code).mp4	57.2 MB
006 RandAugment.en.srt	4.9 KB
006 RandAugment.mp4	30.2 MB
007 RandAugment (Code).en.srt	3.5 KB
007 RandAugment (Code).mp4	23.0 MB
/.../05 SOTA Data augmentation (Hands On)/augmentations/
cutmix.ipynb	448.0 KB
randaug.ipynb	99.6 KB
/.../06 Softmax think out of the box (Hands On)/
001 SoftMax Think out of the box.en.srt	5.4 KB
001 SoftMax Think out of the box.mp4	23.3 MB
002 Temperature Scaling & soft softmax (code).en.srt	4.2 KB
002 Temperature Scaling & soft softmax (code).mp4	27.3 MB
003 Summery.en.srt	0.6 KB
003 Summery.mp4	3.5 MB
/.../06 Softmax think out of the box (Hands On)/soft_softmax/
not_so_soft.ipynb	54.9 KB
/.../07 Prelearing & UVR by Context Prediction (Theory)/
001 Pretext Task.en.srt	3.0 KB
001 Pretext Task.mp4	7.3 MB
002 Overview of Unsupervised Visual Representation Learning by Context Prediction.en.srt	2.4 KB
002 Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4	14.0 MB
003 Results of UVR by Context Prediction.en.srt	5.2 KB
003 Results of UVR by Context Prediction.mp4	23.0 MB
/08 JigSaw/
001 Overview of Jigsaw.en.srt	2.1 KB
001 Overview of Jigsaw.mp4	15.9 MB
002 Network and Training process.en.srt	5.3 KB
002 Network and Training process.mp4	23.7 MB
003 Results of JigSaw.en.srt	2.3 KB
003 Results of JigSaw.mp4	16.4 MB
/.../09 Non-Parametric Instance Level Discrimination(NPILD) (hands on)/
001 Non-Parametric Instance-level Discrimination & Metric learning approach.en.srt	6.8 KB
001 Non-Parametric Instance-level Discrimination & Metric learning approach.mp4	41.2 MB
002 NPILD Training Process.en.srt	3.7 KB
002 NPILD Training Process.mp4	11.9 MB
003 Non Parametric Softmax.en.srt	3.5 KB
003 Non Parametric Softmax.mp4	9.8 MB
004 Noise contrastive estimation (NCE) - Part 1.en.srt	5.2 KB
004 Noise contrastive estimation (NCE) - Part 1.mp4	15.8 MB
005 FULL NCE Loss.en.srt	1.7 KB
005 FULL NCE Loss.mp4	5.3 MB
006 NPILD Put it all together.en.srt	3.7 KB
006 NPILD Put it all together.mp4	11.2 MB
007 NPILD Result.en.srt	2.4 KB
007 NPILD Result.mp4	15.0 MB
008 Non Parametric Softmax (CrossEntropy) (Code).en.srt	6.1 KB
008 Non Parametric Softmax (CrossEntropy) (Code).mp4	30.0 MB
/10 PEARL/
001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.en.srt	5.3 KB
001 Self-Supervised Learning of Pretext-Invariant Representations (PEARL) - Part 1.mp4	28.6 MB
002 PEARL Overview Part 2.en.srt	4.0 KB
002 PEARL Overview Part 2.mp4	11.6 MB
003 PEARL Loss.en.srt	7.0 KB
003 PEARL Loss.mp4	21.4 MB
004 PEARL Results.en.srt	6.1 KB
004 PEARL Results.mp4	31.7 MB
/.../11 PEARL and NPILD (code)/
001 NCE & Memory Bank (Code).en.srt	10.7 KB
001 NCE & Memory Bank (Code).mp4	55.8 MB
002 Network and Training NPILD & Pearl (Code).en.srt	6.0 KB
002 Network and Training NPILD & Pearl (Code).mp4	42.2 MB
/.../11 PEARL and NPILD (code)/npild_pearl/
mock_npild_pearl.ipynb	36.6 KB
non_parrametric_softmax_crossentropy.ipynb	7.5 KB
npild_pearl.ipynb	827.7 KB
/12 SimCLR/
001 SIMCLR Overview.en.srt	4.2 KB
001 SIMCLR Overview.mp4	28.7 MB
002 SIMCLR & Multiview Batch.en.srt	4.2 KB
002 SIMCLR & Multiview Batch.mp4	19.0 MB
003 SimCLR Algorithm and Loss.en.srt	3.5 KB
003 SimCLR Algorithm and Loss.mp4	17.0 MB
004 Training Details.en.srt	1.9 KB
004 Training Details.mp4	4.4 MB
005 Softmax is invariant under translation (Important).en.srt	2.3 KB
005 Softmax is invariant under translation (Important).mp4	6.2 MB
/.../13 SupCon & SimCLR (Code)/
001 Supervised Contrastive Learning.en.srt	6.6 KB
001 Supervised Contrastive Learning.mp4	32.5 MB
002 Mocking SimCLR(Code).en.srt	11.3 KB
002 Mocking SimCLR(Code).mp4	60.4 MB
003 SimClr and Supervised Contrastive Learning (Code).en.srt	7.7 KB
003 SimClr and Supervised Contrastive Learning (Code).mp4	47.0 MB
/.../13 SupCon & SimCLR (Code)/selfsupcon_supcon/
mock_selfsupcon_loss.ipynb	14.5 KB
selfsupcon_supcon.ipynb	464.3 KB
/.../15 Bonus Lectures/
001 Vissl & Albumentations.en.srt	3.6 KB
001 Vissl & Albumentations.mp4	31.6 MB
002 Tips From My Expeience.en.srt	6.0 KB
002 Tips From My Expeience.mp4	14.9 MB
003 Congratulation & Few More ideas.en.srt	5.0 KB
003 Congratulation & Few More ideas.mp4	14.6 MB
/~Get Your Files Here !/
Bonus Resources.txt	0.4 KB
Total files 128