Convolution, Cnn, Machinelearningalgorithms, Deep Learning, Relu.
non-linear relationships in the data. Hierarchical Feature Learning: Through the stacking of multiple convolutional layers, the network learns hierarchical representations of features. Early layers capture simple features (edges, textures), while deeper layers learn more complex and abstract