Updated documentation

Author: krichardsson

docs/README.md

@@ -2,6 +2,9 @@
 - title: Getting Started
   subs:
       - {page_id: getting-started}
+      - {page_id: tryout}
+      - {page_id: docker-gap8}
+      - {page_id: jtag-programming}
 - title: Test functions
   subs:
       - {page_id: test-camera}
@@ -16,7 +19,4 @@
 - title: NINA instructions
   subs:
       - {page_id: nina-flash-instructions}
-
-
-
-  
+      - {page_id: docker-nina}

docs/_data/menu.yml

@@ -11,7 +11,7 @@ The GAP*flow* is expressed as Makefiles in the 'common' folder. It uses the NNTo
 
 This project includes a sample based on a simple MNIST graph defined in Keras. It goes from training right through to working code on GAP8 or the same code running on the PC for debugging purposes.
 
-In train_model.mk the accuracy of a neural network can be increased by setting the epochs of the training.  
+In train_model.mk the accuracy of a neural network can be increased by setting the epochs of the training.
 
 * It first trains the network using keras
 * It then exports the network to H5 format

docs/ai-examples/gapflow-model-extern.md

@@ -5,18 +5,18 @@ page_id: getting-started
 
 ## About
 ### AI-deck
-The AI-deck enables low power on-board artificial intelligence capabilities for the Crazyflie using a GAP8 chip with RISC-V multi-core architecture, 512 Mbit HyperFlash and 64 Mbit HyperRAM. In addition, the deck has a Himax HM01B0 Bayer RGB camera with a NINA W102 Wi-Fi module to stream your images to a desktop. These features fit the prerequisites of a convolutional neural network, but the AI-deck is not limited to the application of CNN's. 
+The AI-deck enables low power on-board artificial intelligence capabilities for the Crazyflie using a GAP8 chip with RISC-V multi-core architecture, 512 Mbit HyperFlash and 64 Mbit HyperRAM. In addition, the deck has a Himax HM01B0 Bayer RGB camera with a NINA W102 Wi-Fi module to stream your images to a desktop. These features fit the prerequisites of a convolutional neural network, but the AI-deck is not limited to the application of CNN's.
 
 ### For users starting with embedded applications and the Crazyflie
 For this example a basic understanding of how to:
 * Program in Python and C
 * Use Linux systems
-* Use Makefiles 
+* Use Makefiles
 * Some basic knowledge about embedded programming
 
 ### Required hardware
 * A JTAG debugger (we used a Olimex ARM-USB-TINY-H JTAG)
-* ARM JTAG 20 to 10 pin adapter 
+* ARM JTAG 20 to 10 pin adapter
 * CrazyFlie 2.1
 * AI-Deck
 
@@ -26,7 +26,7 @@ For this example a basic understanding of how to:
 
 To setup the SDK natively on your machine, then first set up the GAP8 SDK using the instruction on this repository:
 
-https://github.com/GreenWaves-Technologies/gap_sdk.  
+https://github.com/GreenWaves-Technologies/gap_sdk.
 
 When installing the gap sdk (3.8.1), make sure that you have installed everything:
 
@@ -42,23 +42,23 @@ To start out, first write this in the terminal:
 
 
 ## Workflow using GAPFlow
-To design a neural network and deploy it on the AI-deck, you should know the workflow of the GAP8 SDK for AI applications that is provided by GreenWaves Technologies. A neural network can be designed, trained, and evaluated using Tensorflow and Keras in Python. To let this code be able to run on the AI deck, an automated process is executed by the GAPFlow of the GAP8 SDK. 
+To design a neural network and deploy it on the AI-deck, you should know the workflow of the GAP8 SDK for AI applications that is provided by GreenWaves Technologies. A neural network can be designed, trained, and evaluated using Tensorflow and Keras in Python. To let this code be able to run on the AI deck, an automated process is executed by the GAPFlow of the GAP8 SDK.
 
 What you should provide in this workflow is:
 * dataset with labels
 * neural network model
 * GAP application code
 * optional: own autotiler operator
 
-Check out the  [gapflow](../ai-examples/gap-flow) explanation in the ai-example folder
+Check out the  [GAPflow Model Extern](../ai-examples/gapflow-model-extern.md) explanation in the ai-example folder
 
 ### Tensorflow and Keras use
 Keras is a framework within Tensorflow. In addition to providing a neural network framework, it also provides examples of common and simple neural networks and provides datasets along with it. Though when you want to make an application you might want to use other datasets that are relevant for your application. For this, you have to supply your own dataset with labels, augmentation and transformations when required.
 
 https://keras.io/datasets/
 
 ### NNTool use
-<!-- In this example the NNTool state file can be found in example/model/nntool_script special attention to the following command/rule 
+<!-- In this example the NNTool state file can be found in example/model/nntool_script special attention to the following command/rule
 
 ```aquant -f 8 <image folder>/*.<image extension> -T```
 
@@ -77,5 +77,3 @@ The Autotiler supports basic operators needed for a convolutional neural network
 https://greenwaves-technologies.com/manuals/BUILD/AUTOTILER/html/index.html
 
 <!-- explain a bit more about how the autotiler works -->
-
-

docs/getting-started/getting-started.md

@@ -0,0 +1,6 @@
+---
+title: Home
+page_id: home
+---
+
+This repository contains examples for the AI-deck of the crazyflie and is maintained by bitcraze.c. These repositories rely on the gap_sdk of greenwave technologies.