Artificial Intelligence By Example

Training with the classifier

The classifier has been built and can be run:

print("Step 9 training")print("Classifier",classifier.fit_generator(training_set,steps_per_epoch = estep,epochs = ep,validation_data = test_set,validation_steps = vs))

The fit_generator function, which fits the model generated batch by batch, contains the main hyperparameters to run the training session through the following arguments in this model. The hyperparameters settings determine the behavior of the training algorithm:

• training_set is the training set flow described previously.
• steps_per_epoch is the total number of steps (batches of samples) to yield from the generator. The variable used in the following code is estep.

• epochs is the variable of the total ...