… of deep learning, various approaches to deep learning, … Deep learning techniques which
implement deep neural … Deep learning achieves higher power and flexibility due to its ability to …

… domain, many new deep learning techniques have surfaced with respect to image segmentation
techniques. This article approaches these various deep learning techniques of image …

… The third wave began with a focus on new unsupervised learning techniques and the ability
of deep models to generalize well from small datasets, but today there is more interest in …

… This demand coincides with the rise of deep learning … This paper provides a review on
deep learning methods for … of semantic segmentation using deep learning techniques. …

… Deep learning, which has its roots from conventional neural networks, significantly …
many-layered learning models. Many of the latest deep learning techniques have been presented …

… surveys on machine learning (ML) and deep learning (DL) techniques for network analysis
… highlights the datasets used in machine learning techniques, which are the primary tools for …

… Bayesian approximation and ensemble learning techniques are two of the most widely-…
used in deep learning, investigates the application of these methods in reinforcement learning, …

… deep learning to microscopy, producing new techniques to … Deep learning techniques have
been recently proposed to … , a wide variety of deep learning techniques can be employed to …

… The promising ability of deep learning approaches has put … based on deep learning techniques
has received vast … image segmentation using deep learning techniques. There are a few …

… deep learning technologies used in autonomous driving, and provide a survey on state-of-the-art
deep learning … we will focus on deep learning techniques for visual-based localization. …