Tag：depth
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Time：2020-11-28
Introduction:Human level performance, human level precision In the development of AI system enterprises, we often hear such expressions, and its direction range covers face recognition, object detection, and even question answering and other aspects. With the continuous progress of machine learning and deep learning, in recent years, more and more excellent products have begun to […]
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Time：2020-11-27
Deep learning imitates the concept of biological neurons. You can imagine using a large number of neurons to perceive the external world through various stimuli, so as to establish a model of the external world. Let’s give you a data pair: x y -1 -3 0 -1 1 1 2 3 3 5 4 7 […]
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Time：2020-11-19
In Vue, watch is used to respond to changes in data. Watch can be used in three ways. 1. Common usage new Vue({ el: ‘#app’, data: { Name: ‘salted fish’ }, watch: { name(newVal,oldVal) { // … } } }) Write a listening processing function directly, and execute the function every time the name value […]
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Time：2020-11-19
Computed property computed Computational properties are useful when dealing with complex logic. We can use methods instead of computed, and the effect is the same, but computed is based on its dependency cache, and the value will be retrieved only when the dependency changes. With methods, when rendering again, the function will always be called […]
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Time：2020-11-15
Most of the time, people use different deep learning frameworks and standard development toolkits. (SDKs), which are used to implement deep learning methods, are as follows: frame Tensorflow: https://www.tensorflow.org/ Caffe: http://caffe.berkeleyvision.org/ KERAS: https://keras.io/ Theano: http://deeplearning.net/softw… Torch: http://torch.ch/ PyTorch: http://pytorch.org/ Lasagne: https://lasagne.readthedocs.i… DL4J (DeepLearning4J): https://deeplearning4j.org/ Chainer: http://chainer.org/ DIGITS: https://developer.nvidia.com/… CNTK (Microsoft): https://github.com/Microsoft/… MatConvNet: http://www.vlfeat.org/matconv… MINERVA: https://github.com/dmlc/minerva […]
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Time：2020-11-14
background Why GNN? In the context of big data, it seems to be the most effective way to discover the rules in the data by using high-speed computers. In order to make machine computing purposeful, human knowledge is needed as input. We have experienced three stages: expert system, classical machine learning and deep learning. The […]
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Time：2020-11-9
Architecture, search, recommendation, advertising system quality resource arrangement AI architecture, search system, recommendation system, advertising system and other technical data collation. The purpose of this article is to collect high-quality technical data of back-end architecture, AI architecture, search, recommendation and advertising engine on the market. The content sources include official websites of open source projects […]
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Time：2020-11-8
introduction Deeplab V3 + is the latest version of deeplab for semantic segmentation, which adds a decoder structure similar to u-net idea and adjusts xception in encoder. The article was published by the Google team byLiang-Chieh Chen, Yukun Zhu, George Papandreou, Florian Schroffff, and Hartwig Adam Original paper Network architecture The overall architecture of the […]
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Time：2020-11-2
733. Image rendering Source: leetcode https://leetcode-cn.com/problems/flood-fill subject There is a picture represented by a two-dimensional array of integers. Each integer represents the size of the picture’s pixel value, ranging from 0 to 65535. Give you a coordinate (SR, SC) to indicate the pixel value (row, column) at the beginning of the image rendering and a […]
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Time：2020-10-31
Summary of the article This paper takes an image classification model as an example to guide you to deploy tensorflow, pytorch and mxnet models in big data production environment by using djl on Apache spark. preface Deep learning is widely used in the field of big data, but there are few deployment schemes on Java […]
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Time：2020-10-30
Now, there seems to be a trend in AI applications, and most learning applications are in Python. Spring boot is an open source platform widely used in microservices. Users can use stock API to create an RPC API based on C + + or Python applications to implement reasoning tasks in different languages. However, this […]
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Time：2020-10-29
Continued:Deep residual network + adaptive parameterized relu activation function (parameter adjustment record 1)https://blog.csdn.net/dangqin… This paper is still testing the deep residual network + adaptive parameterized relu activation function. The number of residual modules is increased to 27, and the others remain unchanged. The number of convolution kernels is still 8, 16 to 32. Continue to […]
