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 research team developed a multimodal deep learning model that integrates chest radiographs (CXR) with four basic clinical variables (age, sex at birth, height, and weight) to estimate body ...

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...

Learn how to use Google Colab for coding, data science, and AI projects with this beginner-friendly guide. Free GPU access ...

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

This course takes a classic, academic approach, offering a deep dive into AI algorithms, logic, probabilistic models, and ...

We are starting off the course with a busy week. This week's module has two parts. In the first part, after a quick introduction to Deep Learning's exciting applications in self-driving cars, medical ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...