Artificial Intelligence By Example

Loading the data

Loading the data goes through the train_datagen preprocessing image function (described previously) and is implemented in the following code:

print("Step 7b training set")training_set = train_datagen.flow_from_directory(directory+'training_set',target_size = (64, 64),batch_size = batchs,class_mode = 'binary')

The flow in this program uses the following options:

• flow_from_directory sets the directory + 'training_set' to the path where the two binary classes to train are stored.
• target_size will all be resized to that dimension. In this case, it is 64 x 64.
• batch_size is the size of batches of data. The default value is 32 and set to 10 in this case.
• class_mode determines the label arrays returned: none or categorical will ...