Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024)
Udemy - Modern Computer Vision & Deep Learning with Python & PyTorch (12.2024) metadata, size 4975.07 MB, 200 files, category video, indexed at 2026-05-17.
资源标识
Infohasha430705579a5b77e519fceff3ad27cbcca297aa0
总大小4.9 GB
格式mp4
分类视频
文件数200
发掘时间（北京时间）2026-05-18 06:31:31
最后活跃（北京时间）2026-05-18 06:31:31
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magnet:?xt=urn:btih:a430705579a5b77e519fceff3ad27cbcca297aa0&dn=Udemy%20-%20Modern%20Computer%20Vision%20%26%20Deep%20Learning%20with%20Python%20%26%20PyTorch%20%2812.2024%29
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thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmE0MzA3MDU1NzlhNWI3N2U1MTlmY2VmZjNhZDI3Y2JjY2EyOTdhYTAmZG49VWRlbXklMjAtJTIwTW9kZXJuJTIwQ29tcHV0ZXIlMjBWaXNpb24lMjAlMjYlMjBEZWVwJTIwTGVhcm5pbmclMjB3aXRoJTIwUHl0aG9uJTIwJTI2JTIwUHlUb3JjaCUyMCUyODEyLjIwMjQlMjlaWg==
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文件列表
| 文件名 | 格式 | 大小 |
|---|---|---|
| 01. Introduction to Computer Vision Course.mp4 | mp4 | 24.6 MB |
| 01. Introduction to Computer Vision Course.vtt | vtt | 3.9 KB |
| 01. Introduction to Computer Vision and its Real-world Applications.mp4 | mp4 | 108.7 MB |
| 01. Introduction to Computer Vision and its Real-world Applications.vtt | vtt | 13.3 KB |
| 02. Major Computer Vision Tasks.mp4 | mp4 | 11.3 MB |
| 02. Major Computer Vision Tasks.vtt | vtt | 3.7 KB |
| 01. Basics of Deep Learning for Computer Vision.mp4 | mp4 | 150.8 MB |
| 01. Basics of Deep Learning for Computer Vision.vtt | vtt | 27.7 KB |
| 01. Computer Vision using Convolutional Neural Networks (CNN).mp4 | mp4 | 53.4 MB |
| 01. Computer Vision using Convolutional Neural Networks (CNN).vtt | vtt | 11.6 KB |
| 02. Setting-up Google Colab for Writing Python Code.mp4 | mp4 | 31.4 MB |
| 02. Setting-up Google Colab for Writing Python Code.vtt | vtt | 7.8 KB |
| 03. Coding Convolutional Neural Network Architecture from Scratch.mp4 | mp4 | 163.1 MB |
| 03. Coding Convolutional Neural Network Architecture from Scratch.vtt | vtt | 35.1 KB |
| 04. Convolutional Neural Networks HyperParameters Optimization.mp4 | mp4 | 34.9 MB |
| 04. Convolutional Neural Networks HyperParameters Optimization.vtt | vtt | 12.2 KB |
| 05. Training Convolutional Neural Network from Scratch.mp4 | mp4 | 36.9 MB |
| 05. Training Convolutional Neural Network from Scratch.vtt | vtt | 3.5 KB |
| 06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.mp4 | mp4 | 118.2 MB |
| 06. Calculate Accuracy, Precision, Recall and Visualize Confusion Matrix.vtt | vtt | 18.8 KB |
| 07. Resources Complete Code for CNN from Scratch with Python and Pytorch.html | html | 141 B |
| Resources-Code-for-Convolutional-Neural-Networks-from-Scratch-with-Python.zip | zip | 179.6 KB |
| 01. Image Classification Task of Computer Vision with Pytoch and Python.mp4 | mp4 | 6.8 MB |
| 01. Image Classification Task of Computer Vision with Pytoch and Python.vtt | vtt | 3.2 KB |
| 02. Image Classification with Deep Convolutional Neural Networks using Python.mp4 | mp4 | 229.9 MB |
| 02. Image Classification with Deep Convolutional Neural Networks using Python.vtt | vtt | 29.5 KB |
| 03. Resources Code for Image Classification with Deep CNN from Scratch.html | html | 166 B |
| Image-Classification-with-Deep-CNN.zip | zip | 240.7 KB |
| 01. Introduction to Pretrained Models.mp4 | mp4 | 21.3 MB |
| 01. Introduction to Pretrained Models.vtt | vtt | 5.7 KB |
| 02. Deep Learning ResNet and AlexNet Architectures.mp4 | mp4 | 21.0 MB |
| 02. Deep Learning ResNet and AlexNet Architectures.vtt | vtt | 5.0 KB |
| 03. Access Data from Google Drive to Colab.mp4 | mp4 | 19.6 MB |
| 03. Access Data from Google Drive to Colab.vtt | vtt | 3.4 KB |
| 04. Data Preprocessing for Image Classification.mp4 | mp4 | 16.5 MB |
| 04. Data Preprocessing for Image Classification.vtt | vtt | 5.0 KB |
| 05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.mp4 | mp4 | 31.0 MB |
| 05. Single-Label Image Classification using ResNet and AlexNet PreTrained Models.vtt | vtt | 9.1 KB |
| 06. Single Label Classification Python and Pytorch Code.html | html | 114 B |
| 07. Multi-Label Image Classification using Deep Learning Models.mp4 | mp4 | 38.3 MB |
| 07. Multi-Label Image Classification using Deep Learning Models.vtt | vtt | 7.9 KB |
| 08. Multi-Label Classification Python and PyTorch Code.html | html | 101 B |
| Lecture-2-Resources-Multi-Label-Classification.zip | zip | 227.2 KB |
| Lecture-2-Resources-Single-Label-Classification.zip | zip | 995.2 KB |
| 01. Introduction to Transfer Learning.mp4 | mp4 | 25.5 MB |
| 01. Introduction to Transfer Learning.vtt | vtt | 7.9 KB |
| 02. Dataset, Data Augmentation, and Dataloaders.mp4 | mp4 | 35.0 MB |
| 02. Dataset, Data Augmentation, and Dataloaders.vtt | vtt | 9.1 KB |
| 03. Dataset for Classification.html | html | 69 B |
| 04. FineTuning Deep ResNet Model.mp4 | mp4 | 49.0 MB |
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