Abstract: Cancer of the lung system is arguably the second largest factor in the worldwide fatality explosion. It originates from smoking too much and tobacco use. Uncontrolled cell growth in the lung ...

Deep learning is a subset of machine learning that uses multi-layer neural networks to find patterns in complex, unstructured data like images, text, and audio. What sets deep learning apart is its ...

The New York Times found more than 5,300 files with references to Mr. Trump and related terms. They include salacious and unverified claims, as well as documents that had already been made public. By ...

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 ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

This repository showcases my comprehensive learning journey and project work from the ITAI 2376: Deep Learning and AI Agent Development course. Here, you'll find a collection of my assignments, labs, ...

Andrew Leakey and his colleagues developed an AI tool that uses minimal training to teach itself to distinguish the flowers of thousands of varieties of Miscanthus, a plant used in biofuels production ...

Abstract: Deep learning-based inversion methods show great promise. The most common way to develop deep learning inversion techniques is to use synthetic (i.e., computationally-generated) data for ...