WolframSummerSchool2017Magruder
None
view repo
In recent years, China, the United States and other countries, Google and other high-tech companies have increased investment in artificial intelligence. Deep learning is one of the current artificial intelligence research's key areas. This paper analyzes and summarizes the latest progress and future research directions of deep learning. Firstly, three basic models of deep learning are outlined, including multilayer perceptrons, convolutional neural networks, and recurrent neural networks. On this basis, we further analyze the emerging new models of convolution neural networks and recurrent neural networks. This paper then summarizes deep learning's applications in many areas of artificial intelligence, including voice, computer vision, natural language processing and so on. Finally, this paper discusses the existing problems of deep learning and gives the corresponding possible solutions.
READ FULL TEXT
Deep neural networks power most recent successes of artificial intellige...
read it
LightNet is a lightweight, versatile and purely Matlab-based deep learni...
read it
Today, more and more, it is necessary that most applications and documen...
read it
Neural networks are the pinnacle of Artificial Intelligence, as in recen...
read it
A fundamental task for artificial intelligence is learning. Deep Neural
...
read it
Despite the recent achievements in machine learning, we are still very f...
read it
This paper is a review of the evolutionary history of deep learning mode...
read it
None
Comments
There are no comments yet.