CourseClub NET Coursera Deep Learning in Computer Vision | 5C0654D1D7910379FA392CBBC41FE5904F64F615

CourseClub NET Coursera Deep Learning in Computer Vision

Name	[CourseClub.NET] Coursera - Deep Learning in Computer Vision	DOWNLOAD Copy Link
Total Size	1.2 GB
Total Files	104
Hash	5C0654D1D7910379FA392CBBC41FE5904F64F615

/001.Introduction and digital images/
001. Short introduction to computer vision.mp4	16.1 MB
001. Short introduction to computer vision.srt	7.3 KB
002. Digital images.mp4	12.8 MB
002. Digital images.srt	5.2 KB
003. Structure of human eye and vision.mp4	23.3 MB
003. Structure of human eye and vision.srt	8.6 KB
004. Color models.mp4	60.5 MB
004. Color models.srt	22.0 KB
/002.Basic image processing/
005. Image processing goals and tasks.mp4	11.3 MB
005. Image processing goals and tasks.srt	3.7 KB
006. Contrast and brightness correction.mp4	20.6 MB
006. Contrast and brightness correction.srt	7.1 KB
007. Image convolution.mp4	27.3 MB
007. Image convolution.srt	9.8 KB
008. Edge detection.mp4	33.4 MB
008. Edge detection.srt	12.0 KB
/003.Image classification/
009. Recap Image classification.mp4	34.0 MB
009. Recap Image classification.srt	11.1 KB
010. AlexNet, VGG and Inception architectures.mp4	46.0 MB
010. AlexNet, VGG and Inception architectures.srt	14.5 KB
011. ResNet and beyond.mp4	45.3 MB
011. ResNet and beyond.srt	12.6 KB
012. Fine-grained image recognition.mp4	26.6 MB
012. Fine-grained image recognition.srt	7.6 KB
013. Detection and classification of facial attributes.mp4	25.3 MB
013. Detection and classification of facial attributes.srt	8.3 KB
/004.Content-based image retrieval/
014. Content-based image retrieval.mp4	33.1 MB
014. Content-based image retrieval.srt	9.5 KB
015. Computing semantic image embeddings using convolutional neural networks.mp4	37.3 MB
015. Computing semantic image embeddings using convolutional neural networks.srt	11.3 KB
016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4	39.1 MB
016. Employing indexing structures for efficient retrieval of semantic neighbors.srt	11.9 KB
017. Face verification.mp4	26.4 MB
017. Face verification.srt	8.1 KB
018. The re-identification problem in computer vision.mp4	22.1 MB
018. The re-identification problem in computer vision.srt	7.0 KB
/005.Keypoints regression/
019. Facial keypoints regression.mp4	26.8 MB
019. Facial keypoints regression.srt	7.7 KB
020. CNN for keypoints regression.mp4	24.4 MB
020. CNN for keypoints regression.srt	7.3 KB
/006.Sliding window detectors/
021. Object detection problem.mp4	23.5 MB
021. Object detection problem.srt	10.0 KB
022. Sliding windows.mp4	12.3 MB
022. Sliding windows.srt	4.8 KB
023. HOG-based detector.mp4	9.6 MB
023. HOG-based detector.srt	3.5 KB
024. Detector training.mp4	12.3 MB
024. Detector training.srt	4.5 KB
025. Viola-Jones face detector.mp4	20.4 MB
025. Viola-Jones face detector.srt	8.1 KB
026. Attentional cascades and neural networks.mp4	12.8 MB
026. Attentional cascades and neural networks.srt	4.9 KB
/007.Modern detector architectures/
027. Region-based convolutional neural network.mp4	11.2 MB
027. Region-based convolutional neural network.srt	4.5 KB
028. From R-CNN to Fast R-CNN.mp4	18.7 MB
028. From R-CNN to Fast R-CNN.srt	7.1 KB
029. Faster R-CNN.mp4	16.5 MB
029. Faster R-CNN.srt	5.8 KB
030. Region-based fully-convolutional network.mp4	8.9 MB
030. Region-based fully-convolutional network.srt	3.2 KB
031. Single shot detectors.mp4	15.2 MB
031. Single shot detectors.srt	2.6 KB
032. Speed vs. accuracy tradeoff.mp4	7.4 MB
032. Speed vs. accuracy tradeoff.srt	2.6 KB
033. Fun with pedestrian detectors.mp4	6.1 MB
033. Fun with pedestrian detectors.srt	1.6 KB
/008.Object tracking/
034. Introduction to video analysis.mp4	13.3 MB
034. Introduction to video analysis.srt	5.3 KB
035. Optical flow.mp4	18.2 MB
035. Optical flow.srt	8.0 KB
036. Deep learning in optical flow estimation.mp4	19.9 MB
036. Deep learning in optical flow estimation.srt	8.8 KB
037. Visual object tracking.mp4	19.7 MB
037. Visual object tracking.srt	8.2 KB
038. Examples of visual object tracking methods.mp4	45.0 MB
038. Examples of visual object tracking methods.srt	21.3 KB
039. Multiple object tracking.mp4	19.0 MB
039. Multiple object tracking.srt	8.3 KB
040. Examples of multiple object tracking methods.mp4	27.6 MB
040. Examples of multiple object tracking methods.srt	12.3 KB
/009.Action recognition/
041. Introduction to action recognition.mp4	23.0 MB
041. Introduction to action recognition.srt	9.5 KB
042. Action classification.mp4	27.9 MB
042. Action classification.srt	12.2 KB
043. Action classification with convolutional neural networks.mp4	19.7 MB
043. Action classification with convolutional neural networks.srt	8.4 KB
044. Action localization.mp4	23.5 MB
044. Action localization.srt	10.3 KB
/010.Image segmentation/
045. Image segmentation.mp4	16.8 MB
045. Image segmentation.srt	4.9 KB
046. Oversegmentation.mp4	18.7 MB
046. Oversegmentation.srt	5.5 KB
047. Deep learning models for image segmentation.mp4	34.3 MB
047. Deep learning models for image segmentation.srt	10.3 KB
048. Human pose estimation as image segmentation.mp4	35.0 MB
048. Human pose estimation as image segmentation.srt	11.1 KB
/011.Style transfer and image generation/
049. Style transfer.mp4	23.8 MB
049. Style transfer.srt	6.8 KB
050. Generative adversarial networks.mp4	30.9 MB
050. Generative adversarial networks.srt	10.1 KB
051. Image transformation with neural networks.mp4	23.8 MB
051. Image transformation with neural networks.srt	5.8 KB
/
[CourseClub.NET].url	0.1 KB
[DesireCourse.Com].url	0.1 KB
Total files 104