a note on macro

Author: pevnak

docs/src/lecture_07/lecture.md

@@ -68,7 +68,7 @@ CodeInfo(
 	end
 	julia> redefine_add(1)
 	2
-
+    
 	julia> redefine_add(1)
 	0
 	```
@@ -349,6 +349,15 @@ CodeInfo(
 ```
 
 
+### Why hygienating the function calls?
+
+functin foo()
+	cos(x) = exp()
+	@repace_sin
+end
+
+
+
 ### Can I do the hygiene by myself?
 Yes, it is by some considered to be much simpler (and safer) then to understand, how macro hygiene works.
 ```julia
@@ -443,9 +452,7 @@ inside_function()
 Exfiltrator.environment
 ```
 
-
-
-## Domain Specifis Languages (DSL)
+## Domain Specific Languages (DSL)
 Macros are convenient for writing domain specific languages, which are languages designed for specific domain. This allows them to simplify notation and / or make the notation familiar for people working in the field. For example in `Turing.jl`, the model 
 of coinflips can be specified as 
 ```
@@ -607,8 +614,6 @@ quote
 end
 ```
 
-## Symbolic differentiation of scalars
-
 ## non-standard string literals
 ```
 macro r_str(p)

docs/src/lecture_08/lecture.md

@@ -1,15 +1,30 @@
 # Automatic Differentiation
 
+## Motivation
+
 ## Theory
 
 ### Forward
 
 ### Reverse
 
+### Implementation
+- TensorFlow with explicit graph vs. PyTorch with tape / Wengert list
+
+### Mixing forward and reverse
+
 ### How to test
 A tricky example with odd function
 
+## Tricks
+
+### Invertible functions
+save on checkpointing
+
+### Invertible functions
+implicit functions
+
 ### ChainRules
 - Why you want to have it
 - Syntax
-- Structural vs Natural gradient
+- Structural vs Natural gradient