Deformable image registration is important for cancer treatments that utilize an MR-Linac (a linear accelerator with integrated magnetic resonance imaging). Traditional methods of two- and ...

Alphabet's position as an AI infrastructure leader has been in the making for more than a decade. The company's custom AI chips give it a big cost edge. With the most complete AI stack, Alphabet could ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

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 ...

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 Collection calls for submissions of original research into techniques that facilitate the advancement of deep learning for image analysis and object detection, driving computer vision forward and ...

In this video presentation from the Spark Summit 2016 conference in San Francisco, Google’s Jeff Dean examines large scale deep learning with the TensorFlow framework. Jeff joined Google in 1999 and ...

This repository contains homework assignments for the Kadenze Academy course on Creative Applications of Deep Learning w/ Tensorflow. This course introduces you to deep learning: the state-of-the-art ...