This paper is a summary of the algorithms for deep learning and a brief discussion of its future development. In the first part, the concept of deep learning and the advantages and disadvantages of deep learning are introduced. The second part demonstrates several algorithms for deep learning. The third part introduces the application areas of deep learning. Then combines the above algorithms and applications to explore the subsequent development of deep learning. The last part makes a summary of the full paper
Deep learning is an emerging area of machine learning (ML). It comprises multiple hidden layers of a...
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Nowadays, the most revolutionary area in computer science is deep learning algorithms and models. Th...
This paper is a summary of the algorithms for deep learning and a brief discussion of its future dev...
Deep Learning is a significant tool that communicates with the computer to perform task as a natural...
Deep learning is a mainly an area of machine learning. The intention of this paper is to give a quic...
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden la...
Mimicking the brain is the most challenging task in the field of computer science since its origin. ...
Deep learning algorithms are a subset of machine learning algorithms that aim to explore several lev...
This paper provides a comprehensive study of the latest trends and techniques in deep learning, a ra...
With the intention of introducing newbies to these fields, this article covers deep learning in addi...
At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial ...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
In the modern computer world, machine learning is one of the fields. There has been a lot of work un...
Purpose: Deep learning is a predominant branch in machine learning, which is inspired by the operati...
Deep learning is an emerging area of machine learning (ML). It comprises multiple hidden layers of a...
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Nowadays, the most revolutionary area in computer science is deep learning algorithms and models. Th...
This paper is a summary of the algorithms for deep learning and a brief discussion of its future dev...
Deep Learning is a significant tool that communicates with the computer to perform task as a natural...
Deep learning is a mainly an area of machine learning. The intention of this paper is to give a quic...
Deep learning is an emerging area of machine learning (ML) research. It comprises multiple hidden la...
Mimicking the brain is the most challenging task in the field of computer science since its origin. ...
Deep learning algorithms are a subset of machine learning algorithms that aim to explore several lev...
This paper provides a comprehensive study of the latest trends and techniques in deep learning, a ra...
With the intention of introducing newbies to these fields, this article covers deep learning in addi...
At the dawn of the 4th Industrial Revolution, the field of Deep Learning (a sub-field of Artificial ...
Deep learning is a technique of machine learning in artificial intelligence area. Deep learning in a...
In the modern computer world, machine learning is one of the fields. There has been a lot of work un...
Purpose: Deep learning is a predominant branch in machine learning, which is inspired by the operati...
Deep learning is an emerging area of machine learning (ML). It comprises multiple hidden layers of a...
This book will focus on the fundamentals of deep learning along with reporting on the current state-...
Nowadays, the most revolutionary area in computer science is deep learning algorithms and models. Th...