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MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.
tensorflow mnist batch-normalization mnist-classification xavier weight-initializers he-initializer xavier-initializer he
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Jan 20, 2017 - Python
🌸 Breast epithelium segmentation through IHC-guided supervision
deep-learning segmentation ihc digital-pathology breast-cancer he insitu invasive benign histopathology tma immunohistochemistry hematoxylin-eosin-staining hematoxylin fastpathology epithelium eosin cytokeratin tissue-microarray
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Apr 23, 2024 - Python
Super Resolution's the images by 3x using CNN
resolution machine-learning computer-vision tensorflow interpolation images cnn convolutional-networks convolutional-neural-networks cvpr tensorflow-models recognizing-handwritten-digits psnr upscaling he relu-layer kaiming mean-square-error resolution-cnn sub-sampling
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Updated
Nov 28, 2017 - Python
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