… an overview of general deep learning methodology and its … by the successful use of deep
learning technology, such as … be impacted significantly by deep learning and that have been …

… methods existing beneath the umbrella of deep learning paradigm, their intricate details, and
their applications in various fields. Deep learning … the help of superior learning algorithms. It …

… We think that deep learning will … method introduced in ref. 32 significantly improves
performance on test data and generalizes the method to other unsupervised representation-learning …

… machine learning methods. Deep learning is a new state-of-the-art machine learning approach
… This study reviews recent studies of deep learning for popular topics in processing traffic …

… Comparison with other methods We implemented other deep learning methods but due
to space limitation, we only report results of the most accurate one which is the fully …

… in deep learning, one of the state of the art approaches in machine learning, in terms of
its history and current applications as a brief introduction to the subject. Deep learning has …

… The structure of deep learning is described in Fig. 1. Deep learning methods which are
inspired by the structure depth of human brain learn from lower level characteristic to higher …

… unsupervised DL methods. In this article, we present a high-level overview of deep learning
methods followed by a detailed discussion of recent developments of deep learning in …

An introduction to a broad range of topics in deep learning, covering mathematical and
conceptual background, deep learning techniques used in industry, and research perspectives.“…

… Deep learning is a branch of machine learning that can … machine learning techniques,
deep learning methods are … Moreover, deep learning methods can automatically learn feature …