Download [Coursera] Deep Learning in Computer Vision Torrent

Torrent Contents Size: 1.1 GB

[Coursera] Deep Learning in Computer Vision

▼ show more 89 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
[CourseClub.NET].url	URL	102.4 B
[DesireCourse.Com].url	URL	0 B

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[Coursera] Deep Learning in Computer Vision

Torrent Contents Size: 1.1 GB

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