Explainable Deep Learning

eXplainable Deep Learning, by Prof. Romain Giot - YouTube

Prof. Romain Giot, University of Bordeaux, France Deep Learning is omnipresent both in academic research and industrial applications.

Explainable, Deep Reinforcement Learning–Based Decision ...

Deep reinforcement learning (DRL) overcomes these challenges by combining deep neural networks with reinforcement learning to form nonlinear function ...

Explainable Methods for Image-Based Deep Learning: A Review

This paper aims to provide a rounded view of emerging methods to explain DNN models as a way to boost transparency in image-based deep learning.

How to Create a Custom Explainable Deep Learning Model with Keras

Model Design · First, the input RGB image is divided into h x w patches. · Second, each 16x16 patch image is fed into what we call, a CNN block.

Building explainable machine learning models | Fast Data Science

We need to build a machine learning model that should not be a black box, but which should make transparent decisions that humans and businesses can understand.

MIT Open Access Articles Explainable deep learning in healthcare

Meanwhile, deep learning (DL), a family of machine learning (ML) models based on deep neural networks, has achieved remarkable progress in the.

The Transform-and-Perform framework: Explainable deep learning ...

In recent years, visual analytics (VA) has shown promise in alleviating the challenges of interpreting black-box deep learning (DL) models.

wangyongjie-ntu/Awesome-explainable-AI - GitHub

Explainable Biometrics in the Age of Deep Learning, Arxiv preprint 2022. Explainable AI (XAI): Core Ideas, Techniques and Solutions, ACM Computing Survey 2022.

Explainable deep learning in healthcare: A methodological survey ...

In this review, we focus on the interpretability of the DL models in healthcare. We start by introducing the methods for interpretability in depth and ...

A Review and Comparative Study of Explainable Deep Learning ...

In this paper, we propose a review and a comparative analysis of deep learning solutions in terms of precision, explainability, computation time, memory size, ...

Explainable AI Course

Spring 2023, Harvard University. Overview: As machine learning models are increasingly being employed to aid critical decision making in high-stakes domains ...

A novel explainable deep learning framework for reconstructing ...

We present novel explainable deep learning techniques for reconstructing South Asian palaeomonsoon rainfall over the last 500 years.

Explainable deep neural network-based analysis o…

In this aspect, this article deals with a proposed model that can explain the obtained predictions. The proposed framework is a combination of a conventional ...

Explainable deep-learning framework: decoding brain states and ...

We proposed an explainable deep learning framework to decode brain states (Theory of Mind and Pain states) and predict individual performance on ToM-related ...

Explainable Deep Learning and Guiding Human Intuition with AI

Some thought on recent nice work using machine learning to guide mathematical insights to help solve hard problems. A look at Salience and ...

Introduction to Explainable Deep Learning on Supercomputers ...

biases in datasets and reveal valuable insights. The course starts with a broad overview of XAI, setting the stage for a deep dive into cutting- ...

What Does Explainable Machine Learning Mean to Supply Chain ...

Explainable machine learning presents solutions to people, and some tools often miss the decision-making process. For example, supply chain logistics uses ...

Explainable Deep Learning: A Field Guide for the Uninitiated

Deep neural networks (DNNs) have become a proven and indispensable machine learning tool. As a black-box model, it remains difficult to ...

Interactive Explainable Deep Learning Model Informs Prostate ...

The explainable AI model reliably detected and classified clinically significant prostate cancer and improved the confidence and reading time of ...

Interpretable vs Explainable Machine Learning - YouTube

Interpretable models can be understood by a human without any other aids/techniques. On the other hand, explainable models require ...