For instance, as mentioned, machine learning is all about training an algorithm. But, to go further, in order to train an algorithm, you need a neural network—which is a set of algorithms inspired by biological neural networks. To connect this neural network to something they know, explain ...
This has traditionally required humans to manually(opens in a new window) inspect neurons(opens in a new window) to figure out what features of the data they represent. This process doesn’t scale well: it’s hard to apply it to neural networks with tens or hundreds of ...
Embodiments of the present invention provide systems, methods, and computer storage media for providing factors that explain the generated results of a deep neural network (DNN). In embodiments, multiple machine learning models and a DNN are trained on a training dataset. A preliminary set of ...
Instead, it modifies the classification process in such a way that it can be understood directly. “Black-box” image classification AI algorithms are usually defined as Convolutional Neural Networks (CNNs) or, more generally, as ensembles of multiple CNNs (Ting, Pasquale, Peng, Campbell, Lee,...
When training simple models (like, for example, a logistic regression model), answering such questions can be trivial. But when a more performant model is necessary, like with a neural network, XAI techniques can give approximate answers for both the whole model and single predictions. ...
and biophysicist and PRODI founding director Professor Klaus Gerwert. The group developed a neural network, i.e. an AI, that can classify whether a tissue sample contains tumor or not. To this end, they fed the AI a large number of microscopic tissue images, some of which contained tumors...
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods Swish 1 人赞同了该文章 Abstract 本文主要进行交叉分析研究,对比了目前流行且先进的神经网络模型的可解释方法。同时利用问卷调查的方式,从用户的角度出发,参与者被要求在跨越图像、文本、音频和感觉域的应用程序中...
Deep learning is artificial intelligence (AI) function that imitates the working of the human brain in processing data and creating patterns for use in decision making. Deep learning is a subset of machine learning in artificial intelligence that has network capable of learning unsupervised from data...
What is pattern recognition in artificial intelligence? What is grammar in the theory of computation? What is the relation between AI agents and computer vision or neural networks? Explain. What are algorithms? What is artificial intelligence technology?
"Transformer" means that it uses a particular type of neural network, first developed by Google and described inthis paper. "Pre-trained" is a little bit historical. Initially, the ability for the model to continue text was thought of as just a prerequisite for a more specialized task: infe...