For practically all AI jobs involving computer vision and image processing, convolutional neural networks are the most crucial artificial neural network architecture today. We will briefly explore the history of …
The Sigmoid and SoftMax functions specify the activation functions that are utilized in Deep Learning, more specifically in the field of Machine Learning, for classification techniques. The activation function modifies …
Sparse data is a variable in which the cells do not consist of actual data within data analysis. Sparse data has a zero value or is empty. Sparse data is zero …
Let’s begin with the Perceptron, the most basic neural network. It functions as a NN in essence, with a single hidden layer that contains a single hidden unit with an …
One Epoch is a Complete dataset that is passed forward and backward through the NN (neural network) only ONCE. One epoch is too big to feed to the computer system …
Deep learning and deep neural networks are robust and well-liked algorithms. And a large part of their success can be attributed to the careful architecture of the neural network. Deep …