Showing all blog posts tagged with computer-vision.
Learn the fundamentals of computer vision with Python and PyTorch. In this first part, we explore image classification using CNNs, transfer learning, and practical implementation with CIFAR-10 dataset.
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Master object detection with Python and PyTorch. Learn YOLO and Faster R-CNN architectures, implement real-time detection systems, and understand evaluation metrics like mAP and IoU.
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Complete your computer vision journey with semantic segmentation using PyTorch. Learn U-Net, FCN, and DeepLab architectures, implement medical imaging and autonomous driving applications.
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