Created
June 17, 2022 14:31
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Using a convolutional base for the model
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| conv_base = keras.applications.vgg16.VGG16( | |
| weights="imagenet", | |
| include_top=False, | |
| input_shape=(256, 256, 3) | |
| ) | |
| conv_base.summary() |
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