Google has released the first developer preview of Android 8.1, which includes improvements to several features, These include a new Neural Networks API for Android...
Clustering algorithm can be roughly divided into partition clustering method, hierarchical clustering method, density clustering method, grid clustering method, model clustering method and so on....
Alphago's upgraded version - alphayuan has the ability to learn by themselves, only three days to learn defeated alphago; The kingdom of Saudi Arabia has...
Deep neural networks have made breakthroughs in cognitive tasks, but they are vulnerable to "adversity-sample" attacks: slight changes in image, text or voice data can...
The choice of learning rate schedule has a great influence on the convergence speed and generalization ability of the model. Leslie N. Smith et al.,...
Target recognition, depth estimation, edge detection, attitude estimation, etc., are examples of common visual tasks considered useful and solved by the research community. There is...
Keyword Spotting is often the user's first impression of the voice interaction experience. It should be accurate and quick. Therefore, hot word detection algorithm should...
Nowadays, in the hot field of artificial intelligence, the most embarrassing problem is the contradiction between the increasingly large scale of the industry and the...
At the wuhan Summit of alibaba's cloud Conference held recently, the "AI cashier" equipped with DFSMN voice recognition model accurately recognized users' voice orders in...
2017 is destined to be a year of rapid development of machine learning, especially the success of the commercialization of machine learning makes more people...
Abstract: In this paper, a case of RNN text classification learning is implemented through Keras, and the principle knowledge of recurrent neural network and its...
Perceptron, also known as "artificial neuron" or "naive Perceptron", is the basic unit of neural network. This paper first introduces the basic principle of Perceptron,...
From OpenAI, Heart of Machine compilation, Heart of Machine editorial Department. Now, one of the challenges in AI research is fine-correlation modeling of long sequences...
Apple has released a detailed explanation of Face ID. In the public document, apple explains the working principle, working conditions of the Face ID, privacy,...
Convolutional Neural Networks (ConvNets or CNNs) are a Neural network that has been proved to be particularly effective in the field of image recognition and...
Mathematically, convolution is just an operation, and for those of you who haven't studied signal processing, automatic control you don't need to know all the...
This paper gives a brief non-technical summary of the capsule network, analyzes its two important attributes, and then verifies the performance of multi-layer perceptron, convolutional...
When using SGD or other optimization algorithms (Adam, Momentum) to train neural networks, ExponentialMovingAverage (EMA) is usually used. Its significance lies in using the parameters...