#### Exercise 0: Environment and libraries

##### The exercise is validated if all questions of the exercise are validated.

##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.

##### Run `python --version`.

###### Does it print `Python 3.x`? x >= 8

###### Do `import jupyter` and `import numpy` run without any error?

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#### Exercise 1: The neuron

###### For question 1, does this code:

```
    neuron = Neuron(0,1,4)
    neuron.feedforward(2,3)
```

return **0.9990889488055994**?

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#### Exercise 2: Neural network

###### For question 1, is the output **0.9524917424084265**?

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#### Exercise 3: Log loss

###### For question 1, is the output **0.5472899351247816**?

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#### Exercise 4: Forward propagation

##### The exercise is validated if all questions of the exercise are validated

###### For question 1, is the output the following?

```
Bob: 0.7855253278357536
Eli: 0.7771516558846259
Tom: 0.8067873659804015
Ryan: 0.7892343955586032
```

###### For question 2, is the logloss for the 4 students **0.5485133607757963**?

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#### Exercise 5: Regression

##### The exercise is validated if all questions of the exercise are validated

###### For question 1, is the output **7**?

###### For question 2, are the outputs the following?

```
Bob: 14.918863163724454
Eli: 14.83137890625537
Tom: 15.086662606964074
Ryan: 14.939270885974128
```

###### For question 3, is the MSE **10.237608699909138**?