From 34066b2ebb152a74867b512908aa20f435d6a5ce Mon Sep 17 00:00:00 2001
From: "Li, Honglin (PG/R - Elec Electronic Eng)" <h.li@surrey.ac.uk>
Date: Thu, 5 Dec 2019 13:31:21 +0000
Subject: [PATCH] Update README.md

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 README.md | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/README.md b/README.md
index 29afe5d..7096b26 100644
--- a/README.md
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 # Continual Learning by Task Likelihood Analysis
 
+## Introduction
 
+Task Conditional Neural Networks (TCNN) leverage the probabilistic neural networks to estimate the probability density of the training samples. 
+Then produce the task likelihood during the test state to fire the task-specific neurons correspondin to the test sampels. TCNN can detect and 
+learn the new tasks fully-automatically without informing the changes to the model.
+
+![TCNN_Process](https://gitlab.eps.surrey.ac.uk/hl00586/task_likelihood/blob/master/images/TCNN.png "TCNN Process")
 
-- 
GitLab