Chapter 06 Done

Author: SuperSecureHuman

Chapter 06/1.Random_Optimization.ipynb

@@ -0,0 +1,15 @@
+# Introducing Optimization
+
+Now that we have a built a network, that can perfrom one forward propogate, and calculate the loss, its time to introduce a method that will help us to change the weights and biases of the network. This is the hardest part of a neural netowork.
+
+First, we can think to use multiple random values, and stick with the one that gives us the least error. Lets actually try making something like that.
+
+Rest of the chapter will be continued in the notebook.
+
+Basically, we are just incrementing the weights and biases by a small amount, and then saving the version with the best accuracy.
+
+[Optimization With Random Values](./1.Random_Optimization.ipynb)
+
+---
+
+End of Chapter 06 

Chapter 06/README.md

@@ -22,6 +22,8 @@ Huge kudos to the authors for the book, and the excellent animations they made.
 
 [Chapter 05 - Loss Functions](./Chapter%2005/)
 
+[Chapter 06 - Introduction to Optimization](./Chapter%2006/)
+
 ## Some other resources used in this repo
 
 [The neural network images i've put in here - NN-SVG](http://alexlenail.me/NN-SVG/index.html)