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 ...
Semiconductor Engineering

Using Deep Learning ADC For Defect Classification For Automatic Defect Inspection

In traditional semiconductor packaging, manual defect review after automated optical inspection (AOI) is an arduous task for operators and engineers, involving review of both good and bad die. It is ...

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. Generating images with AI. Leaving translation to AI as well.I think there ...
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 ...