Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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 ...

For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and other biological networks look the way they do. The prevailing theory held ...

CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...

French telecommunications operator Free has joined Nokia’s Network as Code API ecosystem, making it easier for developers and enterprises to build, test and deploy new applications that securely tap ...

Abstract: In the manufacturing industry, automated optical inspection (AOI) systems play a crucial role in accurate and efficient inspection. Recently, convolutional neural networks (CNNs) have become ...

Abstract: This study provides a novel approach that enhances the efficiency and accuracy of dietary tracking through automated image recognition technology. This is aimed at promoting the consumption ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...