change

Author: santanupattanayak

Chapter02/README.md

@@ -1,4 +1,4 @@
-### Chapter02: Transfer Learning 
+# Chapter02: Transfer Learning 
 
 Transfer learning is the process of transferring the knowledge gained in one task in a
 specific domain to a related task in a similar domain. In the deep learning paradigm,
@@ -10,13 +10,13 @@ and text, since it alleviates the need for a large amount of training data and t
 this chapter, we will use transfer learning to solve a healthcare problem.
 
 
-### Goal 
+#### Goal 
 
 - [x] To leverage transfer learning in solving real world problems
 - [x] Look at the achitecture of Standard CNN architectures that can be used for Transfer Learning
 - [x] Be comfortable on various facets of performing Transfer learning 
 
-### Dataset Link
+#### Dataset Link
 [Data] (https://www.kaggle.com/c/classroom-diabetic-retinopathy-detection-competition/data)
 
 #### Command to execute TransferLearning.py for Training and Holdout validation
@@ -49,7 +49,7 @@ python TransferLearning_reg.py --path '/media/santanu/9eb9b6dc-b380-486e-b4fd-c4
 
 ```
 
-**These are sample commands and need to be changed accordingly based on data repositories,output directory,etc
+**These are sample commands and need to be changed accordingly based on data repositories,output directory,etc**