Abstract: This paper will explain in detail the classical deep learning text classification algorithms implemented by Keras, including LSTM, BiLSTM, BiLSTM+Attention, CNN and TextCNN.
In many scenarios, people need to wear masks. Manual inspection will waste a lot of manpower. In some aspects, mask identification can better replace manpower for detection
The classification of Iris data sets is mainly based on official documents. Using tf. Contrib. Learn. Tf. Contrib. Learn fast to build a deep web classifier.
Neural networks are powerful learning algorithms inspired by the way the brain works. Similar to the way neurons connect to each other in the brain, a neural network takes input, passes it through the network through some function, and some of the neurons connected behind it are activated to produce output.
Author | SUNILRAY compile | | Flin source analyticsvidhya introduction if you ask me 2 of machine learning is the most intuitive algorithm, the k nearest neighbor (kNN) and the algorithm based on tree. Both are easy to understand, easy to explain, and easy to tell people
The face in the image may be blocked by other faces or blocked by the background, so that only partial face is leaked during detection. In addition, the face can also be blocked by facial appendages, such as glasses, masks, long hair, beard and so on.
The baseline method is provided, and the randomly constructed network is trained with SGDR. The error rate of ciFAR-10 can reach 6%-7%, which is higher than most NAS methods. EAS extends the research on network morphisms and can provide popular network construction blocks, such as Skip Connection and BN. ...
A horde of eager GDgers. At 9:00, The activity officially began. Yang Qiang, Deputy Secretary of Information School of Xiamen University, xu Chunhang, Deputy Director of software Park Management Office of Torch Park Management Committee, gave a short speech. Zheng Lingxiang and Shan Linjie introduced GDG DevFest, Sino-US Young Maker Exchange Center, Xiamen Google Developer Community, and Mais Plan respectively. And Women Techmakers...
Many articles and textbooks use the MNIST dataset as the "Hello World" program for deep learning, but this dataset has one big feature: it is a typical multi-classification problem (there are 10 categories in total). When we first started to get into deep learning, I thought we should start with the simplest dichotomy problem. In terms of deep learning frameworks, the popular one is Tens...
Integrate common models into paddleHub's model library to implement one-click call model usage, making development choices more convenient and masking the underlying implementation.