Exploring a global interpretation mechanism for deep learning

Interpretable and explainable machine learning: A methods‐centric overview with concrete examples - Marcinkevičs - 2023 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library

Infusing theory into deep learning for interpretable reactivity prediction

Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts - The Lancet

All you need to know about 'Attention' and 'Transformers' — In-depth Understanding — Part 1, by Arjun Sarkar

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions, Journal of Big Data

Clinical actionability of triaging DNA mismatch repair deficient colorectal cancer from biopsy samples using deep learning - eBioMedicine

Performance Analysis of Hybrid Deep Learning Models with Attention Mechanism Positioning and Focal Loss for Text Classification

When Machine Learning and Deep Learning Come to the Big Data in Food Chemistry

Explaining deep neural networks: A survey on the global interpretation methods - ScienceDirect

Deep Learning in Chemistry Journal of Chemical Information and Modeling

Home Page: ImmunoInformatics

Explained: Neural networks, MIT News

What Is Transfer Learning? A Guide for Deep Learning

What Is ChatGPT Doing … and Why Does It Work?—Stephen Wolfram Writings

Deep learning and the Global Workspace Theory: Trends in Neurosciences