fix(curriculum): convert all video challenges to markdown (#39189)

curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/deep-learning-demystified.english.md

@@ -7,23 +7,29 @@ videoId: bejQ-W9BGJg
 ---
 
 ## Description
+
 <section id='description'>
 </section>
 
 ## Tests
+
 <section id='tests'>
 
 ```yml
 question:
-  text: How should you assign weights to input neurons before training your network for the first time?
+  text: |
+    How should you assign weights to input neurons before training your network for the first time?
 
   answers:
-    - From smallest to largest.
-    - Completely randomly.
-    - Alphabetically.
-    - None of the above.
+    - |
+      From smallest to largest.
+    - |
+      Completely randomly.
+    - |
+      Alphabetically.
+    - |
+      None of the above.
   solution: 2
 ```
 
 </section>
-

curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-convolutional-neural-networks-work.english.md

@@ -7,22 +7,27 @@ videoId: Y5M7KH4A4n4
 ---
 
 ## Description
+
 <section id='description'>
 </section>
 
 ## Tests
+
 <section id='tests'>
 
 ```yml
 question:
-  text: When are Convolutional Neural Networks not useful?
+  text: |
+    When are Convolutional Neural Networks not useful?
 
   answers:
-    - If your data can't be made to look like an image, or if you can rearrange elements of your data and it's still just as useful.
-    - If your data is made up of different 2D or 3D images.
-    - If your data is text or sound based.
+    - |
+      If your data can't be made to look like an image, or if you can rearrange elements of your data and it's still just as useful.
+    - |
+      If your data is made up of different 2D or 3D images.
+    - |
+      If your data is text or sound based.
   solution: 1
 ```
 
 </section>
-

curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/how-deep-neural-networks-work.english.md

@@ -7,22 +7,27 @@ videoId: zvalnHWGtx4
 ---
 
 ## Description
+
 <section id='description'>
 </section>
 
 ## Tests
+
 <section id='tests'>
 
 ```yml
 question:
-  text: Why is it better to calculate the gradient (slope) directly rather than numerically?
+  text: |
+    Why is it better to calculate the gradient (slope) directly rather than numerically?
 
   answers:
-    - It is computationally expensive to go back through the entire neural network and adjust the weights for each layer of the neural network.
-    - It is more accurate.
-    - There is no difference between the two methods.
+    - |
+      It is computationally expensive to go back through the entire neural network and adjust the weights for each layer of the neural network.
+    - |
+      It is more accurate.
+    - |
+      There is no difference between the two methods.
   solution: 1
 ```
 
 </section>
-

curriculum/challenges/english/11-machine-learning-with-python/how-neural-networks-work/recurrent-neural-networks-rnn-and-long-short-term-memory-lstm.english.md

@@ -7,10 +7,12 @@ videoId: UVimlsy9eW0
 ---
 
 ## Description
+
 <section id='description'>
 </section>
 
 ## Tests
+
 <section id='tests'>
 
 ```yml
@@ -19,11 +21,13 @@ question:
     What are the main neural network components that make up a Long Short Term Memory network?
 
   answers:
-    - New information and prediction.
-    - Prediction, collected possibilities, and selection.
-    - Prediction, ignoring, forgetting, and selection.
+    - |
+      New information and prediction.
+    - |
+      Prediction, collected possibilities, and selection.
+    - |
+      Prediction, ignoring, forgetting, and selection.
   solution: 3
 ```
 
 </section>
-