Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Department of Civil Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India This study investigates the mechanical performance of ...

Artificial neural networks are machine learning models that have been applied to various genomic problems, with the ability to learn non-linear relationships and model high-dimensional data. These ...

A schematic of the stimuli seen by the mouse after vision onset in a virtual corridor rich with optic flow, created using a 3D animation software and used as the training dataset (Methods 4.1.4). The ...

Abstract: This study proposes an efficient Artificial Neural Network (ANN) model for predicting the dimensions and feed point of microstrip patch antennas with three types of geometrical shape. The ...

This article was written as part of The Michigan Daily’s investigation to better understand the risks, advancements and future of water in Michigan and beyond. Read other stories from the project here ...

"The tutorial presented will again tackle the MNIST digit classification problem. You can find more information from the previous [MNIST introduction](introduction_to_mnist.ipynb) tutorial. This time, ...