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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")