Deep Learning Architectures

xECGArch: a trustworthy deep learning architecture for interpretable ECG analysis considering short-term and long … – Nature.com

Abstract Deep learning-based methods have demonstrated high classification performance in the detection of cardiovascular diseases from electrocardiograms (ECGs). However, their blackbox character and the associated lack of interpretability limit their clinical applicability. To overcome existing limitations, we present a novel deep learning architecture for interpretable ECG analysis (xECGArch). For the first time, short- and long-term features are analyzed by two independent convolutional neural networks (CNNs) and combined into an ensemble, which is extended by methods of explainable artificial intelligence (xAI) to whiten the blackbox. To demonstrate the trustworthiness of xECGArch,…

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Image Classification and Categorization

4 Types of Learning in Machine Learning Explained – TechTarget

Machine learning is a broad field that uses automated training techniques to discover better algorithms. The term was coined by Arthur Samuel at IBM in 1959. A subset of AI, machine learning encompasses many techniques. An example is deep learning, an approach which relies on artificial neural networks to learn. There are many other kinds of machine learning techniques commonly used in practice, including some that are used to train deep learning algorithms. Practitioners often choose from four main types of machine learning models based on their respective suitability to…

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Deep Learning Architectures

Let’s Architect! Learn About Machine Learning on AWS | Amazon Web Services – AWS Blog

A data-driven approach empowers businesses to make informed decisions based on accurate predictions and forecasts, leading to improved operational efficiency and resource optimization. Machine learning (ML) systems have the remarkable ability to continuously learn and adapt, improving their performance over time as they are exposed to more data. This self-learning capability ensures that organizations can stay ahead of the curve, responding dynamically to changing market conditions and customer preferences, ultimately driving innovation and enhancing competitiveness. By leveraging the power of machine learning on AWS, businesses can unlock benefits that enhance…

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