[FreeCoursesOnline.Me] Coursera - Deep Learning in Computer Vision
大小
1.12 GB
文件数
105
Info Hash:
89972431050503E9523138B7544B420A089A8691
收录时间
2026-01-04 15:37:49
更新时间
2026-01-04 15:37:49
文件列表 (105)
001.Introduction and digital images/001. Short introduction to computer vision.mp4
15.33 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
12.19 MB
001.Introduction and digital images/002. Digital images.srt
5.06 KB
001.Introduction and digital images/003. Structure of human eye and vision.mp4
22.27 MB
001.Introduction and digital images/003. Structure of human eye and vision.srt
8.43 KB
001.Introduction and digital images/004. Color models.mp4
57.71 MB
001.Introduction and digital images/004. Color models.srt
21.51 KB
002.Basic image processing/005. Image processing goals and tasks.mp4
10.78 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
19.67 MB
002.Basic image processing/006. Contrast and brightness correction.srt
6.98 KB
002.Basic image processing/007. Image convolution.mp4
26.04 MB
002.Basic image processing/007. Image convolution.srt
9.56 KB
002.Basic image processing/008. Edge detection.mp4
31.89 MB
002.Basic image processing/008. Edge detection.srt
11.7 KB
003.Image classification/009. Recap Image classification.mp4
32.43 MB
003.Image classification/009. Recap Image classification.srt
10.79 KB
003.Image classification/010. AlexNet, VGG and Inception architectures.mp4
43.84 MB
003.Image classification/010. AlexNet, VGG and Inception architectures.srt
14.16 KB
003.Image classification/011. ResNet and beyond.mp4
43.16 MB
003.Image classification/011. ResNet and beyond.srt
12.29 KB
003.Image classification/012. Fine-grained image recognition.mp4
25.35 MB
003.Image classification/012. Fine-grained image recognition.srt
7.46 KB
003.Image classification/013. Detection and classification of facial attributes.mp4
24.08 MB
003.Image classification/013. Detection and classification of facial attributes.srt
8.14 KB
004.Content-based image retrieval/014. Content-based image retrieval.mp4
31.59 MB
004.Content-based image retrieval/014. Content-based image retrieval.srt
9.27 KB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.mp4
35.61 MB
004.Content-based image retrieval/015. Computing semantic image embeddings using convolutional neural networks.srt
11.02 KB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4
37.34 MB
004.Content-based image retrieval/016. Employing indexing structures for efficient retrieval of semantic neighbors.srt
11.65 KB
004.Content-based image retrieval/017. Face verification.mp4
25.18 MB
004.Content-based image retrieval/017. Face verification.srt
7.93 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
6.83 KB
005.Keypoints regression/019. Facial keypoints regression.mp4
25.6 MB
005.Keypoints regression/019. Facial keypoints regression.srt
7.55 KB
005.Keypoints regression/020. CNN for keypoints regression.mp4
23.24 MB
005.Keypoints regression/020. CNN for keypoints regression.srt
7.15 KB
006.Sliding window detectors/021. Object detection problem.mp4
22.44 MB
006.Sliding window detectors/021. Object detection problem.srt
9.76 KB
006.Sliding window detectors/022. Sliding windows.mp4
11.75 MB
006.Sliding window detectors/022. Sliding windows.srt
4.69 KB
006.Sliding window detectors/023. HOG-based detector.mp4
9.14 MB
006.Sliding window detectors/023. HOG-based detector.srt
3.43 KB
006.Sliding window detectors/024. Detector training.mp4
11.72 MB
006.Sliding window detectors/024. Detector training.srt
4.4 KB
006.Sliding window detectors/025. Viola-Jones face detector.mp4
19.45 MB
006.Sliding window detectors/025. Viola-Jones face detector.srt
7.96 KB
006.Sliding window detectors/026. Attentional cascades and neural networks.mp4
12.22 MB
006.Sliding window detectors/026. Attentional cascades and neural networks.srt
4.79 KB
007.Modern detector architectures/027. Region-based convolutional neural network.mp4
10.69 MB
007.Modern detector architectures/027. Region-based convolutional neural network.srt
4.35 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
6.93 KB
007.Modern detector architectures/029. Faster R-CNN.mp4
15.76 MB
007.Modern detector architectures/029. Faster R-CNN.srt
5.66 KB
007.Modern detector architectures/030. Region-based fully-convolutional network.mp4
8.52 MB
007.Modern detector architectures/030. Region-based fully-convolutional network.srt
3.14 KB
007.Modern detector architectures/031. Single shot detectors.mp4
14.47 MB
007.Modern detector architectures/031. Single shot detectors.srt
2.52 KB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.mp4
7.06 MB
007.Modern detector architectures/032. Speed vs. accuracy tradeoff.srt
2.52 KB
007.Modern detector architectures/033. Fun with pedestrian detectors.mp4
5.84 MB
007.Modern detector architectures/033. Fun with pedestrian detectors.srt
1.58 KB
008.Object tracking/034. Introduction to video analysis.mp4
12.65 MB
008.Object tracking/034. Introduction to video analysis.srt
5.2 KB
008.Object tracking/035. Optical flow.mp4
17.35 MB
008.Object tracking/035. Optical flow.srt
7.82 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
18.75 MB
008.Object tracking/037. Visual object tracking.srt
8.05 KB
008.Object tracking/038. Examples of visual object tracking methods.mp4
42.92 MB
008.Object tracking/038. Examples of visual object tracking methods.srt
20.78 KB
008.Object tracking/039. Multiple object tracking.mp4
18.16 MB
008.Object tracking/039. Multiple object tracking.srt
8.15 KB
008.Object tracking/040. Examples of multiple object tracking methods.mp4
26.34 MB
008.Object tracking/040. Examples of multiple object tracking methods.srt
11.98 KB
009.Action recognition/041. Introduction to action recognition.mp4
21.89 MB
009.Action recognition/041. Introduction to action recognition.srt
9.31 KB
009.Action recognition/042. Action classification.mp4
26.62 MB
009.Action recognition/042. Action classification.srt
11.93 KB
009.Action recognition/043. Action classification with convolutional neural networks.mp4
18.79 MB
009.Action recognition/043. Action classification with convolutional neural networks.srt
8.23 KB
009.Action recognition/044. Action localization.mp4
22.39 MB
009.Action recognition/044. Action localization.srt
10.06 KB
010.Image segmentation/045. Image segmentation.mp4
16.02 MB
010.Image segmentation/045. Image segmentation.srt
4.82 KB
010.Image segmentation/046. Oversegmentation.mp4
17.84 MB
010.Image segmentation/046. Oversegmentation.srt
5.41 KB
010.Image segmentation/047. Deep learning models for image segmentation.mp4
32.72 MB
010.Image segmentation/047. Deep learning models for image segmentation.srt
10.06 KB
010.Image segmentation/048. Human pose estimation as image segmentation.mp4
33.42 MB
010.Image segmentation/048. Human pose estimation as image segmentation.srt
10.88 KB
011.Style transfer and image generation/049. Style transfer.mp4
22.66 MB
011.Style transfer and image generation/049. Style transfer.srt
6.61 KB
011.Style transfer and image generation/050. Generative adversarial networks.mp4
29.46 MB
011.Style transfer and image generation/050. Generative adversarial networks.srt
9.9 KB
011.Style transfer and image generation/051. Image transformation with neural networks.mp4
22.74 MB
011.Style transfer and image generation/051. Image transformation with neural networks.srt
5.64 KB
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