Cleaning up merges

_quarto.yml

@@ -1,6 +1,8 @@
 project:
   type: book
   output-dir: _book
+  render:
+    - "*.qmd"
 
 website:
   comments: 

embedded_ml_exercise.qmd → embedded_ml_exercise.qmd

@@ -1,13 +1,3 @@
----
-title: "4 Embedded AI - Exercise: Image Classification"
-format:
-  html:
-    code-fold: false
-execute:
-  eval: false
-jupyter: python3
----
-
 ### **Introduction**
 
 As we initiate our studies into embedded machine learning or tinyML,

embedded_sys.qmd

@@ -377,3 +377,5 @@ The table provides a side-by-side comparison between these two distinct types of
 
 
 As we gaze into the future, it's clear that the realm of embedded systems stands on the cusp of a transformative era, characterized by groundbreaking innovations, abundant opportunities, and formidable challenges. The horizon is replete with the promise of enhanced connectivity, heightened intelligence, and superior efficiency, carving out a trajectory where embedded systems will serve as the guiding force behind society's technological progress. The path forward is one of discovery and adaptability, where the confluence of technological prowess and creative ingenuity will sculpt a future that is not only rich in technological advancements but also attuned to the intricate and continually shifting needs of a dynamic global landscape. It's a field teeming with possibilities, inviting trailblazers to embark on a journey to define the parameters of a bright and flourishing future.
+
+[Setup Nicla Vision](./embedded_sys_exercise.qmd)

embedded_sys_exercise.qmd

@@ -1,13 +1,3 @@
----
-title: "2 Embedded Systems - Exercise: The Nicla Vision"
-format:
-  html:
-    code-fold: false
-execute:
-  eval: false
-jupyter: python3
----
-
 ## Introduction ##
 
 The [Arduino Nicla