Login using Social Account
Login using your credentials
How many Trainable Parameters are there in the model?
67,300
500
83,603
30,023
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
Note - Having trouble with the assessment engine? Follow the steps listed here
Go Back to the Course
1 Keras Project - Iris Flower Identification - Introduction to Iris dataset
2 Keras Project - Iris Flower Identification - Step 1 - Download the Dataset
3 Keras Project - Iris Flower Identification - Import the required Modules
4 Keras Project - Iris Flower Identification - Load the Iris dataset
5 Keras Project - Iris Flower Identification - Step 2 - Split the Dataset
6 Keras Project - Iris Flower Identification - Split the data into Training and Test sets
7 Keras Project - Iris Flower Identification - Step 3 - Create the Model
8 Keras Project - Iris Flower Identification - Create the Model in Keras
9 Keras Project - Iris Flower Identification - How many Trainable Parameters are there in the Model?
10 Keras Project - Iris Flower Identification - Step 4 - Compile the Model
11 Keras Project - Iris Flower Identification - Compile the Model
12 Keras Project - Iris Flower Identification - Step 5 - Train the Model
13 Keras Project - Iris Flower Identification - Train the Model
14 Keras Project - Iris Flower Identification - Step 6 - Evaluate the Model
15 Keras Project - Iris Flower Identification - Evaluate the Model
16 Keras Project - Iris Flower Identification - Step 7 - View the Predictions
17 Keras Project - Iris Flower Identification - View the Predictions
Loading comments...