Deep learning (DL) has emerged as a powerful subset of machine learning (ML) and
artificial intelligence (AI), outperforming traditional ML methods, especially in handling …

Deep learning has demonstrated tremendous success in variety of application domains in
the past few years. This new field of machine learning has been growing rapidly and applied …

In recent years, deep learning has garnered tremendous success in a variety of application
domains. This new field of machine learning has been growing rapidly and has been …

In the last few years, the deep learning (DL) computing paradigm has been deemed the
Gold Standard in the machine learning (ML) community. Moreover, it has gradually become …

Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI) is
nowadays considered as a core technology of today's Fourth Industrial Revolution (4IR or …

Two potential bottlenecks on the expressiveness of recurrent neural networks (RNNs) are
their ability to store information about the task in their parameters, and to store information …

Get to grips with the essentials of deep learning by leveraging the power of Python Key
Features Your one-stop solution to get started with the essentials of deep learning and …

Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can
be applied across various sectors. Specifically, it possesses the ability to utilize two or more …

Long short-term memory networks (LSTM) and gate recurrent unit networks (GRU) are two
popular variants of recurrent neural networks (RNN) with long-term memory. This study …

This paper is based on a machine learning project at the Norwegian University of Science
and Technology, fall 2020. The project was initiated with a literature review on the latest …