WebApr 13, 2024 · Accuracy of model is very very low (less than 0.01) and not increasing. base_model = keras.applications.Xception( weights="imagenet", include_top=False ) inputs = tf ... Web2 days ago · bad accuracy while using transfer learning. Accuracy of model is very very low (less than 0.01) and not increasing. base_model = keras.applications.Xception ( weights="imagenet", include_top=False ) inputs = tf.keras.Input (shape= (224, 224, 3)) x = data_augmentation (inputs) x = preprocess_input (x) x = base_model (x) x = global_avg (x) …
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WebFeb 20, 2024 · base_model.trainable = False Source Add new trainable layers The next step is to add new trainable layers that will turn old features into predictions on the new dataset. This is important because the pre-trained model is loaded without the final output layer. Source Train the new layers on the dataset Webinput_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (224, 224, 3) (with 'channels_last' data format) or (3, 224, 224) (with 'channels_first' data format). It should have exactly 3 inputs channels, and width and height should be no smaller than 32. input_shape: optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with 'channels_last' data format) or (3, 299, 299) (with 'channels_first' data format). It should have exactly 3 inputs channels, and width and height should be no smaller than 139. granbury lucy hotel