AttributeError: module 'keras.utils' has no attribute 'get_file'

[TDL77]

-- for keras from classification_models.keras import Classifiers

--передаю как np.array ...images ResNet18, preprocess_input = Classifiers.get('resnet18')

X = preprocess_input(images)

--prepare your data --Split the loaded dataset into train, test sets X_train, X_test, y_train, y_test = train_test_split(X, labels, test_size = 0.2, random_state = random_seed , stratify = labels)

print("x_train shape = ",X_train.shape) print("y_train shape = ",y_train.shape) print("\nx_test shape = ",X_test.shape) print("y_test shape = ",y_test.shape)

--x_train shape = (9754, 180, 180, 3) --y_train shape = (9754,) --x_test shape = (2439, 180, 180, 3) --y_test shape = (2439,)

n_classes = 40

--build model base_model = ResNet18(input_shape=(sz,sz,3), weights='imagenet', include_top=False) x = keras.layers.GlobalAveragePooling2D()(base_model.output) output = keras.layers.Dense(n_classes, activation='softmax')(x) model = keras.models.Model(inputs=[base_model.input], outputs=[output])

--train model.compile(optimizer='SGD', loss='categorical_crossentropy', metrics=['accuracy'])

history = model.fit(x_train, y_train, epochs=100, batch_size=32, validation_data = (x_test, y_test) callbacks=[callbacks], class_weight=class_weights ) ...и вот дальше вылазит эта ошибка AttributeError: module 'keras.utils' has no attribute 'get_file'

...подскажи а можно передать через ? train_generator = train_datagen.flow_from_directory( base_path, target_size=(sz,sz),..............

[KinzangDorji66]

I encountered the same error and It was because the weights parameter was explicitly assigned to imagenet while calling the ResNet18 model. As per documentation, the pretrained imagenet weights are set as default for the model if not set to None. @TDL77

https://stackoverflow.com/questions/68032028/attributeerror-module-keras-utils-has-no-attribute-get-file-using-classific