Automatic speech recognition, translating of spoken words into text, is still a challenging task due to the high viability in speech signals. Deep learning, sometimes referred as representation learning or unsupervised feature learning, is a new area of machine learning. Deep learning is becoming a mainstream technology for speech recognition and has successfully replaced Gaussian mixtures for ...

With lot of research and advancement of deep learning, complex unsupervised learning is applied for extracting deep hierarchies of features especially to images. But, off-the-shelf unsupervised learning algorithms combined with deep learning techniques would yield results similar to complext,time consuming Deep learning algorithms. In this report, I would use K-means algorithm based on [1][3] a...

Deep learning is a popular technique in modern online and offline services. Deep neural network based learning systems have made groundbreaking progress in model size, training and inference speed, and expressive power in recent years, but to tailor the model to specific problems and exploit data and problem structures is still an ongoing research topic. We look into two types of deep ‘‘multi-’...

Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 7 August 2020Accepted: 18 June 2021Published online: 16 September 2021Keywordsdeep learning, deep equilibrium models, Perron--Frobenius theory, fixed-point equations, robustness, adversarial attacksAMS Subject Headings690C26, 49M99, 65K10, 62M45, 26B10Publication DataISSN...

Deep meaningful learning is the higher-order thinking and development through manifold active intellectual engagement aiming at meaning construction pattern recognition concept association. It includes inquiry, critical thinking, creative problem-solving, metacognitive skills. a theory with long academic record that can accommodate demand for excellence in teaching all levels of education. Its ...

Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years. This paper first gives an overview of deep learning and th...

Background: Study habits and skills are very important particularly in medical school which is characterized by heavy workload, heavy time commitments, and high stakes assessments. Students’ approach to learning, which includes study habits, has an important impact on both the excellence of the learning and their academic success. The aim of this study was to evaluate the study habits of Shiraz...