CAM and Grad-CAM implementation proof with gradient hooks, heatmaps, and guided backpropagation.
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Updated
Apr 29, 2026 - Jupyter Notebook
CAM and Grad-CAM implementation proof with gradient hooks, heatmaps, and guided backpropagation.
PyTorch implementation proof: manual training loops for linear/logistic regression and feedforward MNIST classifiers.
Profile README focused on AI implementation proof and deep learning paper implementations.
RetinaNet object detection implementation with FPN, detection heads, and focal loss.
Spatial Transformer Network implementation with affine grid sampling, visualization, and baseline comparison.
PyTorch implementation proof for VGG and ResNet architectures on CIFAR-10.
FSRCNN super-resolution implementation with patch datasets, PSNR evaluation, and bicubic comparison.
FCN-style semantic segmentation implementation with mIoU evaluation and a custom segmentation model.
MedTech website for OR integration, surgical infrastructure, and regulated clinical workflow implementation.
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