Convolution, Cnn, Machinelearningalgorithms, Deep Learning, Relu.
Parameters: Filters have learnable parameters (weights) that are adjusted during the training process to capture important features from the input data. The bias term allows the network to learn offsets or shifts in the data. Multiple Filters and Channels: A convolutional layer typically uses