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NFNets-Tensorflow
GANs
Venturing into GANs with a focus on creating completely custom models ultimately.Triplet-Loss
My efforts to understand and implement the Triplet Loss FunctionGradient-Tape
Creating custom routines in Tensorflow has never been easy. Mostly because of the complexities involved in writing the code. With tensorflow 2.0 eager-execution and GradientTape, I find it relatively easier to write models while avoiding the confusing sub-classing APIs that Tensorflow provides. This repository contains some of the code that I wrote to understand and implement models using GradientTape instead of the classical model.fit or model.compile methods that Keras and Tensorflow 2 provide.Cool-Research-and-Courses
Unsupervised-Classification-Tensorflow
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