From 0718faeed6e33ec0ae3194f6b0ec963bce900ebd Mon Sep 17 00:00:00 2001
From: Jariwala Romin Chetankumar <cb.en.p2aid19015@cb.students.amrita.edu>
Date: Thu, 2 Jul 2020 12:14:50 +0530
Subject: [PATCH] Add README.md

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+# COVID19-data-classification-using-BayesCNN-with-variational-inference
+
+Grand challange link: https://covid-ct.grand-challenge.org/
+
+Dataset is already uploaded with code.
+
+Dataset link: https://github.com/UCSD-AI4H/COVID-CT
+
+Our implementation is based on [this paper](https://arxiv.org/abs/1901.02731).
+
+### Layer type
+
+* **BBB_LRT (Bayes by Backprop w/ Local Reparametrization Trick):**  
+  This layer combines Bayes by Backprop with local reparametrization trick from [this paper](https://arxiv.org/abs/1506.02557). 
+  This trick makes it possible to directly sample from the distribution over activations.
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