Nature

Explainable Deep Learning in Image Analysis articles from across Nature Portfolio

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

[Python x PyTorch] The Story of Encountering a 'Too Close for Comfort' Misclassification While Trying to Build an AI to Identify My Dog | A Challenge from I…

The model dog for this project'I want to build a system that automatically identifies my own dog using AI.'This personal ...

Can you explain that 'AI'? (Series #1) The differences between AI, machine learning, deep learning, and reinforcement learning

There are many people who can 'use' AI. But there are almost no people who can explain how it works.Asking ChatGPT questions.
Business Wire

GE HealthCare Expands Its Effortless Recon DL Portfolio, Bringing Advanced Deep Learning Image Reconstruction to Clinicians Worldwide

More than 80 percent of all health system visits include an imaging exam, i making radiology an essential part of diagnostics and healthcare and image quality a cornerstone of medicine. GE HealthCare ...
Analytics Insight

Deep Learning Cheat Sheet for Beginners & Professionals

Overview:  Deep learning uses multi-layer neural networks to learn patterns from data.CNNs, RNNs, LSTMs, transformers, and autoencoders support different t ...