Contents
What are recent developments in domains of deep learning?
In recent years, various deep architectures with different learning paradigm are quickly introduced to develop machines that can perform similar to human or even better in different domains of application such as medical diagnosis, self-driving cars, natural language and image processing, and predictive forecasting [9] …
What are the two biggest drivers for the current rise in deep learning?
The increased processing power afforded by graphical processing units (GPUs), the enormous amount of available data, and the development of more advanced algorithms has led to the rise of deep learning.
Are there any recent advances in deep learning?
Recent Advances in Deep Learning: An Overview. Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence research. It is also one of the most popular scientific research trends now-a-days. Deep learning methods have brought revolutionary advances in computer vision and machine learning.
Which is the newest trend in machine learning?
Deep Learning is one of the newest trends in Machine Learning and Artificial Intelligence research. It is also one of the most popular scientific research trends now-a-days. Deep learning methods have brought revolutionary advances in computer vision and machine learning.
How can deep learning be used in bioinformatics?
Extracting inherent valuable knowledge from omics big data remains as a daunting problem in bioinformatics and computational biology. Deep learning, as an emerging branch from machine learning, has exhibited unprecedented performance in quite a few applications from academia and industry.
Where does the concept of deep learning come from?
The basic concepts and models in deep learning have derived from the artificial neural network, which mimic human brain’s activity pattern to intelligentize the algorithms and save tedious human labor ( Mnih et al., 2015; Schmidhuber, 2015; Mamoshina et al., 2016 ).