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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：84875470909e6e71fc3aff3fdbb0647b6965b94b
文件大小： 1.48G
已经下载：2531次
下载速度：极快
收录时间：2024-01-16
最近下载：2024-11-25

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:84875470909E6E71FC3AFF3FDBB0647B6965B94B
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 暗网禁地 91短视频 TikTok成人版 PornHub 草榴社区 乱伦社区

最近搜索

文件列表

  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/5 - Data Science in Numpy Part1 Code.mp4 61.9 MB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/51 - Mocking SimCLRCode.mp4 60.4 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/19 - CutMix Code.mp4 57.2 MB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/10 - Image SearchBasic & Cluster.mp4 56.5 MB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/43 - NCE & Memory Bank Code.mp4 55.8 MB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/8 - Pytorch AutoGrad.mp4 53.6 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 53.0 MB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/52 - SimClr and Supervised Contrastive Learning Code.mp4 47.0 MB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/44 - Network and Training NPILD & Pearl Code.mp4 42.2 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/31 - NonParametric Instancelevel Discrimination & Metric learning approach.mp4 41.2 MB
  • ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/56 - Introduction to DeepFake & Beyond.mp4 40.6 MB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/12 - Basic Image Search Code.mp4 40.5 MB
  • ~Get Your Files Here !/1 - Introduction/2 - Applications.mp4 40.2 MB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/7 - Data Science in Pytorch Part 2Code.mp4 39.9 MB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/9 - Custom CNN in Pytorch.mp4 38.2 MB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/13 - Basic Image Search With pertained Resnet cifar10 dataset Code.mp4 34.1 MB
  • ~Get Your Files Here !/1 - Introduction/1 - Course Overview.mp4 33.0 MB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/6 - Data Science in Pytorch Part1 Code.mp4 33.0 MB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/23 - Temperature Scaling & soft softmax code.mp4 32.9 MB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/50 - Supervised Contrastive Learning.mp4 32.5 MB
  • ~Get Your Files Here !/10 - PEARL/42 - PEARL Results.mp4 31.7 MB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/53 - Vissl & Albumentations.mp4 31.6 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/20 - RandAugment.mp4 30.2 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/38 - Non Parametric Softmax CrossEntropy Code.mp4 30.0 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/16 - CutMix Paper Overview.mp4 29.6 MB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/22 - SoftMax Think out of the box.mp4 29.1 MB
  • ~Get Your Files Here !/12 - SimCLR/45 - SIMCLR Overview.mp4 28.7 MB
  • ~Get Your Files Here !/10 - PEARL/39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1.mp4 28.6 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/15 - Why Data Augmentation & History.mp4 28.0 MB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/14 - Cluster Search Code.mp4 24.8 MB
  • ~Get Your Files Here !/8 - JigSaw/29 - Network and Training process.mp4 23.7 MB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/27 - Results of UVR by Context Prediction.mp4 23.0 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/21 - RandAugment Code.mp4 23.0 MB
  • ~Get Your Files Here !/10 - PEARL/41 - PEARL Loss.mp4 21.4 MB
  • ~Get Your Files Here !/1 - Introduction/4 - Course Structure & Important Notes.mp4 20.7 MB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/26 - Overview of Unsupervised Visual Representation Learning by Context Prediction.mp4 20.0 MB
  • ~Get Your Files Here !/1 - Introduction/3 - Google Colab Setup.mp4 19.9 MB
  • ~Get Your Files Here !/12 - SimCLR/46 - SIMCLR & Multiview Batch.mp4 19.0 MB
  • ~Get Your Files Here !/12 - SimCLR/47 - SimCLR Algorithm and Loss.mp4 17.0 MB
  • ~Get Your Files Here !/8 - JigSaw/30 - Results of JigSaw.mp4 16.4 MB
  • ~Get Your Files Here !/8 - JigSaw/28 - Overview of Jigsaw.mp4 15.9 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/17 - Results of CutMix.mp4 15.8 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/34 - Noise contrastive estimation NCE Part 1.mp4 15.8 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/37 - NPILD Result.mp4 15.0 MB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/54 - Tips From My Expeience.mp4 14.9 MB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/55 - Few More ideas.mp4 14.6 MB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/18 - CutMix Algorithm.mp4 12.4 MB
  • ~Get Your Files Here !/12 - SimCLR/49 - Softmax is invariant under translation Important.mp4 12.1 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/32 - NPILD Training Process.mp4 11.9 MB
  • ~Get Your Files Here !/10 - PEARL/40 - PEARL Overview Part 2.mp4 11.6 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/36 - NPILD Put it all together.mp4 11.2 MB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/11 - Faiss Overview.mp4 10.7 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/33 - Non Parametric Softmax.mp4 9.8 MB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/24 - Summery.mp4 9.7 MB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/25 - Pretext Task.mp4 7.3 MB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/35 - FULL NCE Loss.mp4 5.3 MB
  • ~Get Your Files Here !/12 - SimCLR/48 - Training Details.mp4 4.4 MB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/npild_pearl/npild_pearl.ipynb 827.7 kB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/selfsupcon_supcon/selfsupcon_supcon.ipynb 464.3 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/augmentations/cutmix.ipynb 448.0 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/image_search/faiss.ipynb 326.7 kB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/9 - custom-CNN.ipynb 123.5 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/augmentations/randaug.ipynb 99.5 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/image_search/basic_search_with_resnet_imagenet.ipynb 71.0 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/image_search/basic_img_search_with_pretraied_resnet_trained_with_cifar10.ipynb 67.7 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/background/torch_training_process.ipynb 65.5 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/image_search/cluster_search_v1.ipynb 61.8 kB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/soft_softmax/not_so_soft.ipynb 54.9 kB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/npild_pearl/mock_npild_pearl.ipynb 36.6 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/background/numpy_v1.ipynb 20.9 kB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/selfsupcon_supcon/mock_selfsupcon_loss.ipynb 14.5 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/5 - Data Science in Numpy Part1 Code English.srt 13.4 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/background/torch_v2.ipynb 13.0 kB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/51 - Mocking SimCLRCode English.srt 11.2 kB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/43 - NCE & Memory Bank Code English.srt 10.6 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/background/torch_intro.ipynb 9.4 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/19 - CutMix Code English.srt 9.0 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/7 - Data Science in Pytorch Part 2Code English.srt 8.4 kB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/8 - torch-grad.ipynb 8.3 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/10 - Image SearchBasic & Cluster English.srt 8.0 kB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/8 - Pytorch AutoGrad English.srt 7.9 kB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/52 - SimClr and Supervised Contrastive Learning Code English.srt 7.6 kB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/npild_pearl/non_parrametric_softmax_crossentropy.ipynb 7.5 kB
  • ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/57 - Generative Vs Discriminative AI With VAE Example will be separate course English.srt 7.5 kB
  • ~Get Your Files Here !/3 - Pytorch AutoGrad/9 - Custom CNN in Pytorch English.srt 7.2 kB
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/6 - Data Science in Pytorch Part1 Code English.srt 7.2 kB
  • ~Get Your Files Here !/10 - PEARL/41 - PEARL Loss English.srt 7.0 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/31 - NonParametric Instancelevel Discrimination & Metric learning approach English.srt 6.8 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/12 - Basic Image Search Code English.srt 6.6 kB
  • ~Get Your Files Here !/13 - SupCon & SimCLR Code/50 - Supervised Contrastive Learning English.srt 6.5 kB
  • ~Get Your Files Here !/16 - DeepFakes & Beyond Second Part of the courseInProgress/56 - Introduction to DeepFake & Beyond English.srt 6.3 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/38 - Non Parametric Softmax CrossEntropy Code English.srt 6.1 kB
  • ~Get Your Files Here !/10 - PEARL/42 - PEARL Results English.srt 6.0 kB
  • ~Get Your Files Here !/11 - PEARL and NPILD code/44 - Network and Training NPILD & Pearl Code English.srt 6.0 kB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/54 - Tips From My Expeience English.srt 5.9 kB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/22 - SoftMax Think out of the box English.srt 5.7 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/15 - Why Data Augmentation & History English.srt 5.4 kB
  • ~Get Your Files Here !/8 - JigSaw/29 - Network and Training process English.srt 5.2 kB
  • ~Get Your Files Here !/10 - PEARL/39 - SelfSupervised Learning of PretextInvariant Representations PEARL Part 1 English.srt 5.2 kB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/27 - Results of UVR by Context Prediction English.srt 5.1 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/34 - Noise contrastive estimation NCE Part 1 English.srt 5.1 kB
  • ~Get Your Files Here !/1 - Introduction/1 - Course Overview English.srt 5.0 kB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/55 - Few More ideas English.srt 4.9 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/20 - RandAugment English.srt 4.9 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/13 - Basic Image Search With pertained Resnet cifar10 dataset Code English.srt 4.8 kB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/23 - Temperature Scaling & soft softmax code English.srt 4.4 kB
  • ~Get Your Files Here !/12 - SimCLR/45 - SIMCLR Overview English.srt 4.2 kB
  • ~Get Your Files Here !/1 - Introduction/2 - Applications English.srt 4.2 kB
  • ~Get Your Files Here !/12 - SimCLR/46 - SIMCLR & Multiview Batch English.srt 4.1 kB
  • ~Get Your Files Here !/1 - Introduction/4 - Course Structure & Important Notes English.srt 4.0 kB
  • ~Get Your Files Here !/10 - PEARL/40 - PEARL Overview Part 2 English.srt 4.0 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/16 - CutMix Paper Overview English.srt 3.9 kB
  • ~Get Your Files Here !/1 - Introduction/3 - Google Colab Setup English.srt 3.8 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/32 - NPILD Training Process English.srt 3.7 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/36 - NPILD Put it all together English.srt 3.7 kB
  • ~Get Your Files Here !/15 - Few More ideas in Visual Representation Learning/53 - Vissl & Albumentations English.srt 3.6 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/14 - Cluster Search Code English.srt 3.5 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/21 - RandAugment Code English.srt 3.5 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/33 - Non Parametric Softmax English.srt 3.5 kB
  • ~Get Your Files Here !/12 - SimCLR/47 - SimCLR Algorithm and Loss English.srt 3.4 kB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/25 - Pretext Task English.srt 3.0 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/17 - Results of CutMix English.srt 2.9 kB
  • ~Get Your Files Here !/5 - SOTA Data augmentation Hands On/18 - CutMix Algorithm English.srt 2.8 kB
  • ~Get Your Files Here !/7 - Prelearing & UVR by Context Prediction Theory/26 - Overview of Unsupervised Visual Representation Learning by Context Prediction English.srt 2.4 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/37 - NPILD Result English.srt 2.4 kB
  • ~Get Your Files Here !/12 - SimCLR/49 - Softmax is invariant under translation Important English.srt 2.3 kB
  • ~Get Your Files Here !/8 - JigSaw/30 - Results of JigSaw English.srt 2.3 kB
  • ~Get Your Files Here !/8 - JigSaw/28 - Overview of Jigsaw English.srt 2.1 kB
  • ~Get Your Files Here !/12 - SimCLR/48 - Training Details English.srt 1.9 kB
  • ~Get Your Files Here !/9 - NonParametric Instance Level DiscriminationNPILD hands on/35 - FULL NCE Loss English.srt 1.6 kB
  • ~Get Your Files Here !/4 - Faiss & Image Search Hands on Dont skip/11 - Faiss Overview English.srt 1.6 kB
  • ~Get Your Files Here !/6 - Softmax think out of the box Hands On/24 - Summery English.srt 628 Bytes
  • ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
  • Get Bonus Downloads Here.url 182 Bytes
  • ~Get Your Files Here !/2 - Data Science in Numpy & Pytorch code Background/1 - Quiz on Numpy.html 108 Bytes
  • ~Get Your Files Here !/14 - Practice Test Covering Upto DUVRL/2 - Test what you have learned.html 33 Bytes
  • ~Get Your Files Here !/14 - Practice Test Covering Upto DUVRL/1 - Test Numpy skill.html 26 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！
>