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[Coursera] Deep Learning in Computer Vision

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[Coursera] Deep Learning in Computer Vision (Size: 1.1 GB)
  001. Short introduction to computer vision.mp4 15.3 MB
  001. Short introduction to computer vision.srt 7.1 KB
  002. Digital images.mp4 12.2 MB
  002. Digital images.srt 5.1 KB
  003. Structure of human eye and vision.mp4 22.3 MB
  003. Structure of human eye and vision.srt 8.4 KB
  004. Color models.mp4 57.7 MB
  004. Color models.srt 21.5 KB
  005. Image processing goals and tasks.mp4 10.8 MB
  005. Image processing goals and tasks.srt 3.6 KB
  006. Contrast and brightness correction.mp4 19.7 MB
  006. Contrast and brightness correction.srt 7 KB
  007. Image convolution.mp4 26 MB
  007. Image convolution.srt 9.6 KB
  008. Edge detection.mp4 31.9 MB
  008. Edge detection.srt 11.7 KB
  009. Recap Image classification.mp4 32.4 MB
  009. Recap Image classification.srt 10.8 KB
  010. AlexNet, VGG and Inception architectures.mp4 43.8 MB
  010. AlexNet, VGG and Inception architectures.srt 14.2 KB
  011. ResNet and beyond.mp4 43.2 MB
  011. ResNet and beyond.srt 12.3 KB
  012. Fine-grained image recognition.mp4 25.4 MB
  012. Fine-grained image recognition.srt 7.5 KB
  013. Detection and classification of facial attributes.mp4 24.1 MB
  013. Detection and classification of facial attributes.srt 8.1 KB
  014. Content-based image retrieval.mp4 31.6 MB
  014. Content-based image retrieval.srt 9.3 KB
  015. Computing semantic image embeddings using convolutional neural networks.mp4 35.6 MB
  015. Computing semantic image embeddings using convolutional neural networks.srt 11 KB
  016. Employing indexing structures for efficient retrieval of semantic neighbors.mp4 37.3 MB
  016. Employing indexing structures for efficient retrieval of semantic neighbors.srt 11.7 KB
  017. Face verification.mp4 25.2 MB
  017. Face verification.srt 7.9 KB
  018. The re-identification problem in computer vision.mp4 21.1 MB
  018. The re-identification problem in computer vision.srt 6.8 KB
  019. Facial keypoints regression.mp4 25.6 MB
  019. Facial keypoints regression.srt 7.5 KB
  020. CNN for keypoints regression.mp4 23.2 MB
  020. CNN for keypoints regression.srt 7.2 KB
  021. Object detection problem.mp4 22.4 MB
  021. Object detection problem.srt 9.8 KB
  022. Sliding windows.mp4 11.8 MB
  022. Sliding windows.srt 4.7 KB
  023. HOG-based detector.mp4 9.1 MB
  023. HOG-based detector.srt 3.4 KB
  024. Detector training.mp4 11.7 MB
  024. Detector training.srt 4.4 KB
  025. Viola-Jones face detector.mp4 19.4 MB
  025. Viola-Jones face detector.srt 8 KB
  026. Attentional cascades and neural networks.mp4 12.2 MB
  026. Attentional cascades and neural networks.srt 4.8 KB
  027. Region-based convolutional neural network.mp4 10.7 MB
  027. Region-based convolutional neural network.srt 4.3 KB
  028. From R-CNN to Fast R-CNN.mp4 17.8 MB
  028. From R-CNN to Fast R-CNN.srt 6.9 KB
  029. Faster R-CNN.mp4 15.8 MB
  029. Faster R-CNN.srt 5.7 KB
  030. Region-based fully-convolutional network.mp4 8.5 MB
  030. Region-based fully-convolutional network.srt 3.1 KB
  031. Single shot detectors.mp4 14.5 MB
  031. Single shot detectors.srt 2.5 KB
  032. Speed vs. accuracy tradeoff.mp4 7.1 MB
  032. Speed vs. accuracy tradeoff.srt 2.5 KB
  033. Fun with pedestrian detectors.mp4 5.8 MB
  033. Fun with pedestrian detectors.srt 1.6 KB
  034. Introduction to video analysis.mp4 12.7 MB
  034. Introduction to video analysis.srt 5.2 KB
  035. Optical flow.mp4 17.3 MB
  035. Optical flow.srt 7.8 KB
  036. Deep learning in optical flow estimation.mp4 19 MB
  036. Deep learning in optical flow estimation.srt 8.6 KB
  037. Visual object tracking.mp4 18.7 MB
  037. Visual object tracking.srt 8.1 KB
  038. Examples of visual object tracking methods.mp4 42.9 MB
  038. Examples of visual object tracking methods.srt 20.8 KB
  039. Multiple object tracking.mp4 18.2 MB
  039. Multiple object tracking.srt 8.1 KB
  040. Examples of multiple object tracking methods.mp4 26.3 MB
  040. Examples of multiple object tracking methods.srt 12 KB
  041. Introduction to action recognition.mp4 21.9 MB
  041. Introduction to action recognition.srt 9.3 KB
  042. Action classification.mp4 26.6 MB
  042. Action classification.srt 11.9 KB
  043. Action classification with convolutional neural networks.mp4 18.8 MB
  043. Action classification with convolutional neural networks.srt 8.2 KB
  044. Action localization.mp4 22.4 MB
  044. Action localization.srt 10.1 KB
  045. Image segmentation.mp4 16 MB
  045. Image segmentation.srt 4.8 KB
  046. Oversegmentation.mp4 17.8 MB
  046. Oversegmentation.srt 5.4 KB
  047. Deep learning models for image segmentation.mp4 32.7 MB
  047. Deep learning models for image segmentation.srt 10.1 KB
  048. Human pose estimation as image segmentation.mp4 33.4 MB
  048. Human pose estimation as image segmentation.srt 10.9 KB
  049. Style transfer.mp4 22.7 MB
  049. Style transfer.srt 6.6 KB
  050. Generative adversarial networks.mp4 29.5 MB
  050. Generative adversarial networks.srt 9.9 KB
  051. Image transformation with neural networks.mp4 22.7 MB
  051. Image transformation with neural networks.srt 5.6 KB
  [CourseClub.NET].url 102.4 B
  [DesireCourse.Com].url 0 B
  ▲ 104 total files

Description


[Coursera] Deep Learning in Computer Vision

Deep learning added a huge boost to the already rapidly developing field of computer vision.

For More Courses: https://courseclub.net

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