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Deep Learning Specialization Coursera ⭐ 266

This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.

Unet Segmentation In Keras Tensorflow ⭐ 129

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.

Transception ⭐ 36

Official code for Enhancing Medical Image Segmentation with TransCeption: A Multi-Scale Feature Fusion Approach

Tensorflow Unet Labelme ⭐ 6

Build U-NET with TensorFlow 2 and train a dataset annotated with labelme

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