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Keras Project - Iris Flower Identification - Train the Model

Now we will train the model.

  • To train the model, we will use a batch size of 5 and 100 epochs and save it in a variable called history

    << your code goes here >> = model.fit(X_train, y_train, batch_size=<< your code goes here >>, epochs=<< your code goes here >>)
  • Once the training is complete, we will plot the loss and accuracy metrics of the model

    pd.DataFrame(history.history).plot(figsize=(8, 5))
    plt.gca().set_ylim(0, 1)

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