… In this chapter, application of deep learning techniques in mental disorder is proposed to
enable … The idea behind using deep learning lies in its potential in classifying medical data, …

… Although big data provides great opportunities for a broad of … In the past few years, deep
learning has played an important role … of deep learning models for big data feature learning. …

… Although deep learning models typically require thousands of samples to converge to robust
solutions, shallow (ie, limited parameters) models still require in the order of hundreds of …

… approaches for MS detection, such as transfer learning, data … the potential clinical implications
of deep learning-based MS … the challenges and opportunities in utilizing deep learning for …

… Abstract—With the rapid development of in-depth learning, neural network and deep learning
… the opportunities for future research. Index Terms—FPGA, Accelerator, Deep Learning, …

… of deep learning methods in mainstream ML applications, there is a huge opportunity to
develop and apply deep learning … is well-suited for deep learning developments such as convolu…

… , it can investigate the deep network’s features, giving it a good fit and generalization
ability. We will focus on improving the deep learning network structure and incorporating peak …

… AI has developed from ML to deep learning to applied AI. A machine’s ability to learn from
experience, adapt to new inputs, and perform specific tasks without human intervention is …

… The term deep learning was added to the AI lexicon to reflect the ability to harness new
computing power to develop more powerful AI approaches with more layers of analysis than …

… have dominated river research while neural networks and deep learning have also gradually
gained popularity. Matrix factorisation and linear models have been the most popular ML …