Deep Neural Networks are characterized by the weight, bias, and activation function. The activation functions decide whether a neuron should be activated or not by computing weighted sums and biases. In this book, I represent an experimental review on the eight different activation functions for the Convolutional layers in Neural Networks.
For my experiment, I selected eight activation functions for three different datasets. The activation functions ar
In this book, I perform an experimental review on twelve similar types of Convolutional Neural Network architecture but the different sizes of kernels for the filters.
For this experiment, I select twelve different sizes of the kernel for twelve Convolutional Neural Network models, the size of kernels are – (12, 12), (11, 11), (10, 10), (9, 9), (8, 8), (7, 7), (6, 6), (5, 5), (4, 4), (3, 3), (2, 2), and (1, 1).
For this experi