[Coursera] Deep Learning in Computer Vision

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[CourseClub.NET] Coursera - Deep Learning in Computer Vision 001.Introduction and digital images
  • 001. Short introduction to computer vision.mp4 (15.3 MB)
  • 001. Short introduction to computer vision.srt (7.1 KB)
  • 002. Digital images.mp4 (12.2 MB)
  • 002. Digital images.srt (5.1 KB)
  • 003. Structure of human eye and vision.mp4 (22.3 MB)
  • 003. Structure of human eye and vision.srt (8.4 KB)
  • 004. Color models.mp4 (57.7 MB)
  • 004. Color models.srt (21.5 KB)
002.Basic image processing
  • 005. Image processing goals and tasks.mp4 (10.8 MB)
  • 005. Image processing goals and tasks.srt (3.6 KB)
  • 006. Contrast and brightness correction.mp4 (19.7 MB)
  • 006. Contrast and brightness correction.srt (7.0 KB)
  • 007. Image convolution.mp4 (26.0 MB)
  • 007. Image convolution.srt (9.6 KB)
  • 008. Edge detection.mp4 (31.9 MB)
  • 008. Edge detection.srt (11.7 KB)
003.Image classification
  • 009. Recap Image classification.mp4 (32.4 MB)
  • 009. Recap Image classification.srt (10.8 KB)
  • 010. AlexNet, VGG and Inception architectures.mp4 (43.8 MB)
  • 010. AlexNet, VGG and Inception architectures.srt (14.2 KB)
  • 011. ResNet and beyond.mp4 (43.2 MB)
  • 011. ResNet and beyond.srt (12.3 KB)
  • 012. Fine-grained image recognition.mp4 (25.4 MB)
  • 012. Fine-grained image recognition.srt (7.5 KB)
  • 013. Detection and classification of facial attributes.mp4 (24.1 MB)
  • 013. Detection and classification of facial attributes.srt (8.1 KB)
004.Content-based image retrieval
  • 014. Content-based image retrieval.mp4 (31.6 MB)
  • 014. Content-based image retrieval.srt (9.3 KB)
  • 015. Computing semantic image embeddings using convolutional neural networks.mp4 (35.6 MB)
  • 015. Computing semantic image embeddings using convolutional neural networks.srt (11.0 KB)
  • 016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4 (37.3 MB)
  • 016. Employing indexing structures for efficient retrieval of semantic neighbors.srt (11.7 KB)
  • 017. Face verification.mp4 (25.2 MB)
  • 017. Face verification.srt (7.9 KB)
  • 018. The re-identification problem in computer vision.mp4 (21.1 MB)
  • 018. The re-identification problem in computer vision.srt (6.8 KB)
005.Keypoints regression
  • 019. Facial keypoints regression.mp4 (25.6 MB)
  • 019. Facial keypoints regression.srt (7.5 KB)
  • 020. CNN for keypoints regression.mp4 (23.2 MB)
  • 020. CNN for keypoints regression.srt (7.2 KB)
006.Sliding window detectors
  • 021. Object detection problem.mp4 (22.4 MB)
  • 021. Object detection problem.srt (9.8 KB)
  • 022. Sliding windows.mp4 (11.8 MB)
  • 022. Sliding windows.srt (4.7 KB)
  • 023. HOG-based detector.mp4 (9.1 MB)
  • 023. HOG-based detector.srt (3.4 KB)
  • 024. Detector training.mp4 (11.7 MB)
  • 024. Detector training.srt (4.4 KB)
  • 025. Viola-Jones face detector.mp4 (19.4 MB)
  • 025. Viola-Jones face detector.srt (8.0 KB)
  • 026. Attentional cascades and neural networks.mp4 (12.2 MB)
  • 026. Attentional cascades and neural networks.srt (4.8 KB)
007.Modern detector architectures
  • 027. Region-based convolutional neural network.mp4 (10.7 MB)
  • 027. Region-based convolutional neural network.srt (4.3 KB)
  • 028. From R-CNN to Fast R-CNN.mp4 (17.8 MB)
  • 028. From R-CNN to Fast R-CNN.srt (6.9 KB)
  • 029. Faster R-CNN.mp4 (15.8 MB)
  • 029. Faster R-CNN.srt (5.7 KB)
  • 030. Region-based fully-convolutional network.mp4 (8.5 MB)
  • 030. Region-based fully-convolutional network.srt (3.1 KB)
  • 031. Single shot detectors.mp4 (14.5 MB)
  • 031. Single shot detectors.srt (2.5 KB)
  • 032. Speed vs. accuracy tradeoff.mp4 (7.1 MB)
  • 032. Speed vs. accuracy tradeoff.srt (2.5 KB)
  • 033. Fun with pedestrian detectors.mp4 (5.8 MB)
  • 033. Fun with pedestrian detectors.srt (1.6 KB)
008.Object tracking
  • 034. Introduction to video analysis.mp4 (12.7 MB)
  • 034. Introduction to video analysis.srt (5.2 KB)
  • 035. Optical flow.mp4 (17.3 MB)
  • 035. Optical flow.srt (7.8 KB)
  • 036. Deep learning in optical flow estimation.mp4 (19.0 MB)
  • 036. Deep learning in optical flow estimation.srt (8.6 KB)
  • 037. Visual object tracking.mp4 (18.7 MB)
  • 037. Visual object tracking.srt (8.1 KB)
  • 038. Examples of visual object tracking methods.mp4 (42.9 MB)
  • 038. Examples of visual object tracking methods.srt (20.8 KB)
  • 039. Multiple object tracking.mp4 (18.2 MB)
  • 039. Multiple object tracking.srt (8.1 KB)
  • 040. Examples of multiple object tracking methods.mp4 (26.3 MB)
  • 040. Examples of multiple object tracking methods.srt (12.0 KB)
009.Action recognition
  • 041. Introduction to action recognition.mp4 (21.9 MB)
  • 041. Introduction to action recognition.srt (9.3 KB)
  • 042. Action classification.mp4 (26.6 MB)
  • 042. Action classification.srt (11.9 KB)
  • 043. Action classification with convolutional neural networks.mp4 (18.8 MB)
  • 043. Action classification with convolutional neural networks.srt (8.2 KB)
  • 044. Action localization.mp4 (22.4 MB)
  • 044. Action localization.srt (10.1 KB)
010.Image segmentation
  • 045. Image segmentation.mp4 (16.0 MB)
  • 045. Image segmentation.srt (4.8 KB)
  • 046. Oversegmentation.mp4 (17.8 MB)
  • 046. Oversegmentation.srt (5.4 KB)
  • 047. Deep learning models for image segmentation.mp4 (32.7 MB)
  • 047. Deep learning models for image segmentation.srt (10.1 KB)
  • 048. Human pose estimation as image segmentation.mp4 (33.4 MB)
  • 048. Human pose estimation as image segmentation.srt (10.9 KB)
011.Style transfer and image generation
  • 049. Style transfer.mp4 (22.7 MB)
  • 04

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[Coursera] Deep Learning in Computer Vision

Deep learning added a huge boost to the already rapidly developing field of computer vision.

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[Coursera] Deep Learning in Computer Vision

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Download torrent
1.1 GB
seeders:23
leechers:11
[Coursera] Deep Learning in Computer Vision

Torrent hash: 5C0654D1D7910379FA392CBBC41FE5904F64F615