[COURSERA] DEEP LEARNING IN COMPUTER VISION [FCO]

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[COURSERA] DEEP LEARNING IN COMPUTER VISION [FCO]

Torrent Contents Size: 1.1 GB

[COURSERA] DEEP LEARNING IN COMPUTER VISION [FCO]
▼ show more 90 files
001. Short introduction to computer vision.mp4
MP4
15.3 MB
001. Short introduction to computer vision.srt
SRT
7.1 KB
002. Digital images.mp4
MP4
12.2 MB
002. Digital images.srt
SRT
5.1 KB
003. Structure of human eye and vision.mp4
MP4
22.3 MB
003. Structure of human eye and vision.srt
SRT
8.4 KB
004. Color models.mp4
MP4
57.7 MB
004. Color models.srt
SRT
21.5 KB
005. Image processing goals and tasks.mp4
MP4
10.8 MB
005. Image processing goals and tasks.srt
SRT
3.6 KB
006. Contrast and brightness correction.mp4
MP4
19.7 MB
006. Contrast and brightness correction.srt
SRT
7 KB
007. Image convolution.mp4
MP4
26 MB
007. Image convolution.srt
SRT
9.6 KB
008. Edge detection.mp4
MP4
31.9 MB
008. Edge detection.srt
SRT
11.7 KB
009. Recap Image classification.mp4
MP4
32.4 MB
009. Recap Image classification.srt
SRT
10.8 KB
010. AlexNet, VGG and Inception architectures.mp4
MP4
43.8 MB
010. AlexNet, VGG and Inception architectures.srt
SRT
14.2 KB
011. ResNet and beyond.mp4
MP4
43.2 MB
011. ResNet and beyond.srt
SRT
12.3 KB
012. Fine-grained image recognition.mp4
MP4
25.4 MB
012. Fine-grained image recognition.srt
SRT
7.5 KB
013. Detection and classification of facial attributes.mp4
MP4
24.1 MB
013. Detection and classification of facial attributes.srt
SRT
8.1 KB
014. Content-based image retrieval.mp4
MP4
31.6 MB
014. Content-based image retrieval.srt
SRT
9.3 KB
015. Computing semantic image embeddings using convolutional neural networks.mp4
MP4
35.6 MB
015. Computing semantic image embeddings using convolutional neural networks.srt
SRT
11 KB
016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4
MP4
37.3 MB
016. Employing indexing structures for efficient retrieval of semantic neighbors.srt
SRT
11.7 KB
017. Face verification.mp4
MP4
25.2 MB
017. Face verification.srt
SRT
7.9 KB
018. The re-identification problem in computer vision.mp4
MP4
21.1 MB
018. The re-identification problem in computer vision.srt
SRT
6.8 KB
019. Facial keypoints regression.mp4
MP4
25.6 MB
019. Facial keypoints regression.srt
SRT
7.5 KB
020. CNN for keypoints regression.mp4
MP4
23.2 MB
020. CNN for keypoints regression.srt
SRT
7.2 KB
021. Object detection problem.mp4
MP4
22.4 MB
021. Object detection problem.srt
SRT
9.8 KB
022. Sliding windows.mp4
MP4
11.8 MB
022. Sliding windows.srt
SRT
4.7 KB
023. HOG-based detector.mp4
MP4
9.1 MB
023. HOG-based detector.srt
SRT
3.4 KB
024. Detector training.mp4
MP4
11.7 MB
024. Detector training.srt
SRT
4.4 KB
025. Viola-Jones face detector.mp4
MP4
19.4 MB
025. Viola-Jones face detector.srt
SRT
8 KB
026. Attentional cascades and neural networks.mp4
MP4
12.2 MB
026. Attentional cascades and neural networks.srt
SRT
4.8 KB
027. Region-based convolutional neural network.mp4
MP4
10.7 MB
027. Region-based convolutional neural network.srt
SRT
4.3 KB
028. From R-CNN to Fast R-CNN.mp4
MP4
17.8 MB
028. From R-CNN to Fast R-CNN.srt
SRT
6.9 KB
029. Faster R-CNN.mp4
MP4
15.8 MB
029. Faster R-CNN.srt
SRT
5.7 KB
030. Region-based fully-convolutional network.mp4
MP4
8.5 MB
030. Region-based fully-convolutional network.srt
SRT
3.1 KB
031. Single shot detectors.mp4
MP4
14.5 MB
031. Single shot detectors.srt
SRT
2.5 KB
032. Speed vs. accuracy tradeoff.mp4
MP4
7.1 MB
032. Speed vs. accuracy tradeoff.srt
SRT
2.5 KB
033. Fun with pedestrian detectors.mp4
MP4
5.8 MB
033. Fun with pedestrian detectors.srt
SRT
1.6 KB
034. Introduction to video analysis.mp4
MP4
12.7 MB
034. Introduction to video analysis.srt
SRT
5.2 KB
035. Optical flow.mp4
MP4
17.3 MB
035. Optical flow.srt
SRT
7.8 KB
036. Deep learning in optical flow estimation.mp4
MP4
19 MB
036. Deep learning in optical flow estimation.srt
SRT
8.6 KB
037. Visual object tracking.mp4
MP4
18.7 MB
037. Visual object tracking.srt
SRT
8.1 KB
038. Examples of visual object tracking methods.mp4
MP4
42.9 MB
038. Examples of visual object tracking methods.srt
SRT
20.8 KB
039. Multiple object tracking.mp4
MP4
18.2 MB
039. Multiple object tracking.srt
SRT
8.1 KB
040. Examples of multiple object tracking methods.mp4
MP4
26.3 MB
040. Examples of multiple object tracking methods.srt
SRT
12 KB
041. Introduction to action recognition.mp4
MP4
21.9 MB
041. Introduction to action recognition.srt
SRT
9.3 KB
042. Action classification.mp4
MP4
26.6 MB
042. Action classification.srt
SRT
11.9 KB
043. Action classification with convolutional neural networks.mp4
MP4
18.8 MB
043. Action classification with convolutional neural networks.srt
SRT
8.2 KB
044. Action localization.mp4
MP4
22.4 MB
044. Action localization.srt
SRT
10.1 KB
045. Image segmentation.mp4
MP4
16 MB
045. Image segmentation.srt
SRT
4.8 KB
046. Oversegmentation.mp4
MP4
17.8 MB
046. Oversegmentation.srt
SRT
5.4 KB
047. Deep learning models for image segmentation.mp4
MP4
32.7 MB
047. Deep learning models for image segmentation.srt
SRT
10.1 KB
048. Human pose estimation as image segmentation.mp4
MP4
33.4 MB
048. Human pose estimation as image segmentation.srt
SRT
10.9 KB
049. Style transfer.mp4
MP4
22.7 MB
049. Style transfer.srt
SRT
6.6 KB
050. Generative adversarial networks.mp4
MP4
29.5 MB
050. Generative adversarial networks.srt
SRT
9.9 KB
051. Image transformation with neural networks.mp4
MP4
22.7 MB
051. Image transformation with neural networks.srt
SRT
5.6 KB
[FTU Forum].url
URL
204.8 B
[FreeCoursesOnline.Me].url
URL
102.4 B
[FreeTutorials.Us].url
URL
102.4 B

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