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#### Exercise 0: Environment and libraries
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##### The exercise is validated if all questions of the exercise are validated.
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##### Activate the virtual environment. If you used `conda` run `conda activate your_env`.
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##### Run `python --version`.
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###### Does it print `Python 3.x`? x >= 8
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###### Do `import jupyter` and `import numpy` run without any error?
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---
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---
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#### Exercise 1: The neuron
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###### For question 1, does this code:
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```
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neuron = Neuron(0,1,4)
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neuron.feedforward(2,3)
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```
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return **0.9990889488055994**?
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---
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---
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#### Exercise 2: Neural network
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###### For question 1, is the output **0.9524917424084265**?
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---
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---
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#### Exercise 3: Log loss
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###### For question 1, is the output **0.5472899351247816**?
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---
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---
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#### Exercise 4: Forward propagation
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##### The exercise is validated if all questions of the exercise are validated
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###### For question 1, is the output the following?
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```
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Bob: 0.7855253278357536
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Eli: 0.7771516558846259
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Tom: 0.8067873659804015
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Ryan: 0.7892343955586032
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```
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###### For question 2, is the logloss for the 4 students **0.5485133607757963**?
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---
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---
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#### Exercise 5: Regression
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##### The exercise is validated if all questions of the exercise are validated
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###### For question 1, is the output **7**?
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###### For question 2, are the outputs the following?
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```
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Bob: 14.918863163724454
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Eli: 14.83137890625537
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Tom: 15.086662606964074
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Ryan: 14.939270885974128
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```
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###### For question 3, is the MSE **10.237608699909138**?
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