Update readme: install from master and remove requires_grad comment

README.md

@@ -89,7 +89,9 @@ Because apparently to be successful you need a vision, I would like Arraymancer
 
 Nim is available in some Linux repositories and on Homebrew for macOS.
 
-I however recommend installing Nim in your user profile via [``choosenim``](https://github.com/dom96/choosenim). Once choosenim installed Nim, you can `nimble install arraymancer` which will pull arraymancer and all its dependencies.
+I however recommend installing Nim in your user profile via [``choosenim``](https://github.com/dom96/choosenim). Once choosenim installed Nim, you can `nimble install arraymancer` which will pull the latest arraymancer release and all its dependencies.
+
+To install Arraymancer development version you can use `nimble install arraymancer@#head`.
 
 ## Full documentation
 
@@ -103,8 +105,6 @@ You can also check the [detailed example](https://github.com/mratsim/Arraymancer
 
 Available autograd and neural networks features are detailed in the technical reference part of the [documentation](https://mratsim.github.io/Arraymancer/).
 
-Warning: The autograd and neural networks high-level interface should see little changes (additional optional parameters like requires_grad), however the neural net primitives WILL be changed.
-
 ### Arraymancer as a Numpy alternative
 
 Arraymancer tutorial is available [here](https://mratsim.github.io/Arraymancer/tuto.first_steps.html).
@@ -198,7 +198,7 @@ echo j .+ k
 
 ### Arraymancer as a Deep Learning library
 
-Note: The interface is still in ironed out.
+Note: The interface is still being ironed out.
 
 #### Handwritten digit recognition with Arraymancer
 From [example 2](https://github.com/mratsim/Arraymancer/blob/master/examples/ex02_handwritten_digits_recognition.nim).