Convolutional Network, Computer Vision, Neural Networks, Deep Learning, Machine Learning.
are “dropped out,” meaning they are ignored, forcing the network to learn more robust and generalized features. It help prevent overfitting by randomly ignoring a fraction of input units during training: Dropout mechanism. source nagadakos from tensorflow.keras.layers import Dropout dropout_layer =