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Download /GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4

GetFreeCourses Co Udemy Modern Computer Vision PyTorch Tensorflow2 Keras OpenCV4

40 Deep Segmentation Net SegNet DeeplabV3 and Mask CNN Detectron2 Mask CNN mp4

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GetFreeCourses.Co-Udemy-Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

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13.7 GB

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2025-06-09 23:58

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/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.mp4

74.3 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/5. Detectron2 Mask R-CNN.srt

7.4 KB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.mp4

63.1 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/3. PyTorch DeepLabV3.srt

8.2 KB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.mp4

57.6 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.mp4

82.0 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.mp4

64.7 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.mp4

76.6 MB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/6. Train Mask R-CNN Shapes Dataset.srt

7.0 KB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/1. Introduction to Deep Segmentation.srt

17.1 KB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/4. Mask-RCNN Tensorflow Matterport.srt

6.6 KB

/40. Deep Segmentation - U-Net, SegNet, DeeplabV3 and Mask R-CNN/2. Image Segmentation Keras UNET SegNet.srt

11.5 KB

/27. Object Detection/6. R-CNNs, Fast R-CNNs and Faster R-CNNs.mp4

43.2 MB

/35. Drone Maritime Detector R-CNN/1. Drone Maritime Detector R-CNN.mp4

59.6 MB

/11. Deep Learning in Computer Vision Introduction/15. Training a CNN.mp4

28.7 MB

 

Showing first 15 files of 465 total files


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