Question: Below is the Python code for a convolutional neural network: from tensorflow import keras from tensorflow.keras import layers inputs = keras.Input ( shape = (

Below is the Python code for a convolutional neural network: from tensorflow import keras from tensorflow.keras import layers inputs = keras.Input(shape=(28,28,1)) x = layers.Conv2D(filters=32, kernel_size=3, activation=relu)(inputs) x = layers.MaxPooling2D(pool_size=2)(x) x = layers.Conv2D(filters=64, kernel_size=3, activation=relu)(x) x = layers.MaxPooling2D(pool_size=2)(x) x = layers.Conv2D(filters=128, kernel_size=3, activation=relu)(x) Describe the structure of the convolutional neural network represented by the code above. Be as specific as possible.

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