Deep learning is a subset of machine learning. As the name suggests, deep learning means
more and more layers. Deep leaning basically works on the principle of neurons. With the …

Deep learning, a subset of machine learning, stands at the forefront of artificial intelligence,
striving to bridge the gap to its ultimate goal. This paper employs summary and induction …

Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …

This paper offers an overview of essential concepts 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 …

As a machine learning model based on neural networks, deep learning is particularly
advantageous in fields like computer vision, speech recognition and natural language …

Deep learning is just a function that we recently learn how to feeded to data without over
fitting. Deep learning is set of algorithms that are achieving things that pretty much no …

This chapter introduces the neural network, which is widely used as the model for Machine
Learning. The neural network has a long history of development and a vast amount of …

The chapter is about deep learning fundaments and its recent trends. The chapter mentions
many advanced applications and deep learning models and networks to easily solve those …

Deep learning has had a lot of success in recent years in domains like natural language
processing and computer vision. Deep learning, in comparison to typical machine learning …

In recent years, Deep Learning at the latest developed field belonging to soft computing. The
Deep learning has been a hot topic in the communities of artificial intelligence, artificial …