Role of Convolutional Layer in Convolutional Neural Networks
The indispensable feature of convolutional neural networks, also denoted as CNNs, is the convolutional layer, which is commonly perceived as the pivotal and fundamental component that confers CNNs their appellation. The current layer is engaged in conducting a computational procedure commonly known as a “convolution”. After the successful initialization of all variables and assigning them with random values, the image of a deer is utilized with specific parameters..
V Sharma /