model = tf.keras.applications.MobileNet(
input_shape=None,
alpha=1.0,
depth_multiplier=1,
dropout=0.001,
include_top=True,
weights="imagenet",
input_tensor=None,
pooling=None,
classes=1000,
classifier_activation="softmax",
)import tensorflow as tf
from tensorflow import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
training_set = image_dataset_from_directory(train_dir,
shuffle=True,
batch_size=32,
image_size=(150, 150))
val_dataset = image_dataset_from_directory(validation_dir,
shuffle=True,
batch_size=32,
image_size=(150, 150))