docs(keras): fix audits format

subjects/ai/keras/audit/README.md

@@ -1,6 +1,6 @@
 #### Exercise 0: Environment and libraries
 
-##### The exercice is validated is all questions of the exercice are validated
+##### The exercise is validated is all questions of the exercise are validated
 
 ##### Activate the virtual environment. If you used `conda` run `conda activate your_env`
 
@@ -8,7 +8,7 @@
 
 ###### Does it print `Python 3.x`? x >= 8
 
-##### Does `import jupyter`, `import numpy`, `import pandas`, and `import keras` run without any error ?
+###### Does `import jupyter`, `import numpy`, `import pandas`, and `import keras` run without any error?
 
 ---
 
@@ -16,7 +16,7 @@
 
 #### Exercise 1: Sequential
 
-##### The question 1 is validated if the output ends with `keras.engine.sequential.Sequential object at xxx`
+###### For question 1, does the output end with `keras.engine.sequential.Sequential object at xxx`?
 
 ---
 
@@ -24,9 +24,9 @@
 
 #### Exercise 2: Dense
 
-##### The exercice is validated is all questions of the exercice are validated
+##### The exercise is validated if all questions of the exercise are validated
 
-##### The question 1 is validated if the fields `batch_input_shape`, `units` and `activation` match this output:
+###### For question 1, do the fields `batch_input_shape`, `units` and `activation` match this output?
 
 ```
 {'name': 'dense_7',
@@ -46,7 +46,7 @@
 'bias_constraint': None}
 ```
 
-##### The question 2 is validated if the fields `units` and `activation` match this output:
+###### For question 2, do the fields `units` and `activation` match this output?
 
 ```
 {'name': 'dense_8',
@@ -65,7 +65,7 @@
 'bias_constraint': None}
 ```
 
-##### The question 3 is validated if the fields `units` and `activation` match this output:
+###### For question 3, do the fields `units` and `activation` match this output?
 
 ```
 {'name': 'dense_9',
@@ -90,7 +90,7 @@
 
 #### Exercise 3: Architecture
 
-##### The question 1 is validated if the code that creates the neural network is:
+###### For question 1, is code that creates the neural network the following?
 
 ```
 model = keras.Sequential()
@@ -108,7 +108,7 @@ The first two layers could use another activation function that sigmoid (eg: rel
 
 #### Exercise 4: Optimize
 
-##### The question 1 is validated if the output of `model.get_config()['layers']` matches the fields `batch_input_shape`, `units` and `activation`.
+###### For question 1, does the output of `model.get_config()['layers']` match the fields `batch_input_shape`, `units` and `activation`?
 
 ```
 [{'class_name': 'InputLayer',
@@ -165,8 +165,8 @@ The first two layers could use another activation function that sigmoid (eg: rel
    'bias_constraint': None}}]
 ```
 
-You should notice that the neural network is struggling to learn. By luck the initialization of the weights might have led to an accuracy close of 90%. But when I trained the neural network, with `batch_size=300` on the data here is the ouptput of the last epoch (50):
+You should notice that the neural network is struggling to learn. By luck the initialization of the weights might have led to an accuracy close of 90%. But when I trained the neural network, with `batch_size=300` on the data here is the output of the last epoch (50):
 
 `Epoch 50/50 2/2 [==============================] - 0s 1ms/step - loss: 0.6559 - accuracy: 0.6274`
 
-##### The question 2 is validated if the the accuracy at epoch 50 is higher than 95%.
+###### For question 2, is the the accuracy at epoch 50 higher than 95%?