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[FreeCoursesOnline.Me] Coursera - Deep Learning in Computer Vision
Category:
Other
Date:
11/06/18 at 2:13pm GMT+1
Submitter:
Unknown
Seeders:
0
Leechers:
1
File size:
1.1 GB in 99 files
Torrent Status:
This torrent has been
verified
.
Infohash:
89972431050503e9523138b7544b420a089a8691
File list
[FreeCoursesOnline.Me] Coursera - Deep Learning in Computer Vision
001.Introduction and digital images/001. Short introduction to computer vision.mp4
15.3 MB
001.Introduction and digital images/001. Short introduction to computer vision.srt
7.1 KB
001.Introduction and digital images/002. Digital images.mp4
12.2 MB
001.Introduction and digital images/002. Digital images.srt
5.1 KB
001.Introduction and digital images/003. Structure of human eye and vision.mp4
22.3 MB
001.Introduction and digital images/003. Structure of human eye and vision.srt
8.4 KB
001.Introduction and digital images/004. Color models.mp4
57.7 MB
001.Introduction and digital images/004. Color models.srt
21.5 KB
002.Basic image processing/005. Image processing goals and tasks.mp4
10.8 MB
002.Basic image processing/005. Image processing goals and tasks.srt
3.6 KB
002.Basic image processing/006. Contrast and brightness correction.mp4
19.7 MB
002.Basic image processing/006. Contrast and brightness correction.srt
7 KB
002.Basic image processing/007. Image convolution.mp4
26 MB
002.Basic image processing/007. Image convolution.srt
9.6 KB
002.Basic image processing/008. Edge detection.mp4
31.9 MB
002.Basic image processing/008. Edge detection.srt
11.7 KB
003.Image classification/009. Recap Image classification.mp4
32.4 MB
003.Image classification/009. Recap Image classification.srt
10.8 KB
003.Image classification/010. AlexNet, VGG and Inception architectures.mp4
43.8 MB
003.Image classification/010. AlexNet, VGG and Inception architectures.srt
14.2 KB
003.Image classification/011. ResNet and beyond.mp4
43.2 MB
003.Image classification/011. ResNet and beyond.srt
12.3 KB
003.Image classification/012. Fine-grained image recognition.mp4
25.4 MB
003.Image classification/012. Fine-grained image recognition.srt
7.5 KB
003.Image classification/013. Detection and classification of facial attributes.mp4
24.1 MB
003.Image classification/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
004.Content-based image retrieval/014. Content-based image retrieval.srt
9.3 KB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.mp4
35.6 MB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.srt
11 KB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4
37.3 MB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.srt
11.7 KB
004.Content-based image retrieval/017. Face verification.mp4
25.2 MB
004.Content-based image retrieval/017. Face verification.srt
7.9 KB
004.Content-based image retrieval/018. The re-identification problem in computer vision.mp4
21.1 MB
004.Content-based image retrieval/018. The re-identification problem in computer vision.srt
6.8 KB
005.Keypoints regression/019. Facial keypoints regression.mp4
25.6 MB
005.Keypoints regression/019. Facial keypoints regression.srt
7.5 KB
005.Keypoints regression/020. CNN for keypoints regression.mp4
23.2 MB
005.Keypoints regression/020. CNN for keypoints regression.srt
7.2 KB
006.Sliding window detectors/021. Object detection problem.mp4
22.4 MB
006.Sliding window detectors/021. Object detection problem.srt
9.8 KB
006.Sliding window detectors/022. Sliding windows.mp4
11.8 MB
006.Sliding window detectors/022. Sliding windows.srt
4.7 KB
006.Sliding window detectors/023. HOG-based detector.mp4
9.1 MB
006.Sliding window detectors/023. HOG-based detector.srt
3.4 KB
006.Sliding window detectors/024. Detector training.mp4
11.7 MB
006.Sliding window detectors/024. Detector training.srt
4.4 KB
006.Sliding window detectors/025. Viola-Jones face detector.mp4
19.4 MB
006.Sliding window detectors/025. Viola-Jones face detector.srt
8 KB
006.Sliding window detectors/026. Attentional cascades and neural networks.mp4
12.2 MB
006.Sliding window detectors/026. Attentional cascades and neural networks.srt
4.8 KB
007.Modern detector architectures/027. Region-based convolutional neural network.mp4
10.7 MB
007.Modern detector architectures/027. Region-based convolutional neural network.srt
4.3 KB
007.Modern detector architectures/028. From R-CNN to Fast R-CNN.mp4
17.8 MB
007.Modern detector architectures/028. From R-CNN to Fast R-CNN.srt
6.9 KB
007.Modern detector architectures/029. Faster R-CNN.mp4
15.8 MB
007.Modern detector architectures/029. Faster R-CNN.srt
5.7 KB
007.Modern detector architectures/030. Region-based fully-convolutional network.mp4
8.5 MB
007.Modern detector architectures/030. Region-based fully-convolutional network.srt
3.1 KB
007.Modern detector architectures/031. Single shot detectors.mp4
14.5 MB
007.Modern detector architectures/031. Single shot detectors.srt
2.5 KB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.mp4
7.1 MB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.srt
2.5 KB
007.Modern detector architectures/033. Fun with pedestrian detectors.mp4
5.8 MB
007.Modern detector architectures/033. Fun with pedestrian detectors.srt
1.6 KB
008.Object tracking/034. Introduction to video analysis.mp4
12.7 MB
008.Object tracking/034. Introduction to video analysis.srt
5.2 KB
008.Object tracking/035. Optical flow.mp4
17.3 MB
008.Object tracking/035. Optical flow.srt
7.8 KB
008.Object tracking/036. Deep learning in optical flow estimation.mp4
19 MB
008.Object tracking/036. Deep learning in optical flow estimation.srt
8.6 KB
008.Object tracking/037. Visual object tracking.mp4
18.7 MB
008.Object tracking/037. Visual object tracking.srt
8.1 KB
008.Object tracking/038. Examples of visual object tracking methods.mp4
42.9 MB
008.Object tracking/038. Examples of visual object tracking methods.srt
20.8 KB
008.Object tracking/039. Multiple object tracking.mp4
18.2 MB
008.Object tracking/039. Multiple object tracking.srt
8.1 KB
008.Object tracking/040. Examples of multiple object tracking methods.mp4
26.3 MB
008.Object tracking/040. Examples of multiple object tracking methods.srt
12 KB
009.Action recognition/041. Introduction to action recognition.mp4
21.9 MB
009.Action recognition/041. Introduction to action recognition.srt
9.3 KB
009.Action recognition/042. Action classification.mp4
26.6 MB
009.Action recognition/042. Action classification.srt
11.9 KB
009.Action recognition/043. Action classification with convolutional neural networks.mp4
18.8 MB
009.Action recognition/043. Action classification with convolutional neural networks.srt
8.2 KB
009.Action recognition/044. Action localization.mp4
22.4 MB
009.Action recognition/044. Action localization.srt
10.1 KB
010.Image segmentation/045. Image segmentation.mp4
16 MB
010.Image segmentation/045. Image segmentation.srt
4.8 KB
010.Image segmentation/046. Oversegmentation.mp4
17.8 MB
010.Image segmentation/046. Oversegmentation.srt
5.4 KB
010.Image segmentation/047. Deep learning models for image segmentation.mp4
32.7 MB
010.Image segmentation/047. Deep learning models for image segmentation.srt
10.1 KB
010.Image segmentation/048. Human pose estimation as image segmentation.mp4
33.4 MB
010.Image segmentation/048. Human pose estimation as image segmentation.srt
10.9 KB
011.Style transfer and image generation/049. Style transfer.mp4
22.7 MB
011.Style transfer and image generation/049. Style transfer.srt
6.6 KB
011.Style transfer and image generation/050. Generative adversarial networks.mp4
29.5 MB
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