Tag：neural network
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Time：2019-11-22
What new IT requirements do AI change bring?With the breakthrough of deep learning and the rapid development of hardware, artificial intelligence “the nth spring” is full of vitality. For the first time in history, machines can do better than us in ‘human’ tasks such as face recognition. There are many “hidden” or computing layers in […]
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Time：2019-11-21
Absrtact: deeply understand each component of convolution neural network, and build a neural network of its own. The most advanced image recognition architecture uses many additional components to supplement the convolution operation. In this article, you will learn about some important components that can improve the speed and accuracy of modern convolutional neural networks. Pooling […]
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Time：2019-11-20
Absrtact: This paper is an in-depth learning entry project – digital handwriting recognition through keras. The whole process is introduced in detail, which is suitable for beginners to practice. For image classification task, convolutional neural network (CNN) is the best network structure, there is no one. CNN is widely used in face recognition, automatic driving, […]
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Time：2019-11-19
Absrtact: This paper discusses how to use convolution neural network to segment semantic image. The goal of semantic image segmentation is to mark each pixel of an image as a related category. Because we want to predict every pixel in the image, it is usually called dense prediction. What’s important is that we can’t segment […]
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Time：2019-11-18
Abstract: want to learn neural network? I don’t know how these things work. introduceWith the development of neural network, many tasks that were considered difficult to accomplish in the past have been completed, such as image recognition, speech recognition, and it has become easier to find deeper relationships in the data set. Therefore, we should […]
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Time：2019-11-17
Abstract: want to learn deep learning? Can I count nothing in my heart? Special note: This article is to solve those who are totally unfamiliar with deep learning and are planning to enter this field. The aim is to help them think critically about the complexity of the field and to help them distinguish between […]
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Time：2019-11-16
Overview of deep learning O restricted Boltzmann machine and deep belief network o Dropout O tips for dealing with imbalances O smote: synthesis of a few oversampling techniques O cost sensitive learning in neural networks Overview of deep learning Before 2006, the feedforward neural network of training depth supervision always failed, the main reason is […]
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Time：2019-11-15
Alpha dogs have made deep learning the pinnacle of the data science world. Deep learning has become one of the most popular topics, but for most people, it is a strange and mysterious subject. Many people think that deep learning includes a lot of mathematical and statistical knowledge. This paper lists 12 common deep learning […]
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Time：2019-11-15
origin Recently, I am learning neural network with my teacher. In order to understand the black box more deeply, I intend to implement it in C / C + +. Today, I have been busy for a long time, and finally realized a BP neural network. Later, I will successively realize CNN neural network and […]
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Time：2019-11-14
Someone said it was an interview question!I didn’t say that, but it makes sense—Lu Xun ▍ what is an activation function In neurons, input is summed by weighting, and then a function is applied, which is the activation functionActivation Function。 The location of the activation function in the neural network is shown as follows: ▍ […]
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Time：2019-11-13
Neuroips, the conference and workshop on neural information processing systems, is one of the top academic conferences of AI and machine learning that attracts the most attention in the world. The 33rd annual neuroips conference will be held in Vancouver Convention Center, Vancouver, Canada from December 8 to 14, 2019. A total of 6743 papers […]
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Time：2019-11-12
Write before: I have just started to study in depth. I have summed up my first experiment process and read a lot of Daniel’s blogs. I also refer to a lot of Daniel’s blogs in the following procedures. At the beginning of the introduction, I wrote a program to download the dataset directly, but later […]
