Convolution, Cnn, Machinelearningalgorithms, Deep Learning, Relu.
more efficient. from tensorflow import keras from tensorflow.keras import layers model = keras.Sequential([ layers.Conv2D(filters=64, kernel_size=3), # activation is None We can understand these parameters by looking at their relationship to the weights and activations of the layer. Let’s do that