8 hours- Hard
Last updated on 3/8/23
Train a Basic Deep Learning Model
Evaluated skills
- Train simple deep learning models
Description
In this quiz, you will be building a classifier on the Iris dataset! If you haven’t heard about it before, the Iris dataset is one that contains information about three types of the iris flower:
- Iris-setosa
- Iris-versicolor
- Iris-virginica
The three types are differentiated by:
- Sepal length
- Sepal width
- Petal length
- Petal width
Here’s a snippet of the dataset:
And this is what it looks like when the sepal length is drawn against the sepal width:
By the end of the quiz, you will have set up a neural network that predicts the type of Iris based on the four data points! Ready to do it?
Question 1
Select the code snippet that creates an input layer that accepts the Iris dataset:
model.add(Dense(12, input_dim=12, activation='relu'))model.add(Dense(1, input_dim=6, activation='relu'))model.add(Dense(8, input_dim=4, activation='relu'))model.add(Dense(8, input_dim=8, activation='relu'))
Question 2
Select the code snippet that can predict one of the Iris types. Remember that code snippet needs to create an output layer!
model.add(Dense(4, activation=...))model.add(Dense(6, activation=...))model.add(Dense(15, activation=...))model.add(Dense(3, activation=...))
Question 3
Select the code that sets up the correct activation function for the model:
activation=’sigmoid’activation=’categorical_cross_entropy’activation=’softmax’activation=’relu’
- Up to 100% of your training program funded
- Flexible start date
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- Individual mentoring
