小编Jup*_*Boi的帖子

I know that there are different kinds of Convolutional Filters depending on the job you want to do. ie. Sharpening, blurring, etc. Is there a specific kind we need to use for image classification?

An example CNN used for image classification is provided on the tensorflow website:

model = models.Sequential()
model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
model.add(layers.MaxPooling2D((2, 2)))
model.add(layers.Conv2D(64, (3, 3), activation='relu'))
model.add(layers.Flatten())
model.add(layers.Dense(64, activation='relu'))
model.add(layers.Dense(10))

I realize the convolutional layer is using …