Tag：neural network
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Time：2021-9-14
preface Sigmoid function (logistic function) is a very common activation function in neural networks. Let’s have a deep understanding of sigmoid function today. Function form Function image code implementation Code run: colab import matplotlib.pyplot as plt import numpy as np import math x = np.linspace(-10, 10, 100) z = 1 / (1 + np.exp(-x)) plt.title(“Sigmoid”) […]
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Time：2021-9-4
Introduction:How long have you not read an academic paper? Most of the high-level papers are in English. The author translated a deep reinforcement learning paper on Google’s deepmind in 2013, which is regarded asReinforcement learning + deep learningIn 2015, its achievements were published in top academic journalsNatureCome on. The content of this article is,CNN (convolutional […]
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Time：2021-8-28
【abstract】This paper briefly introduces the development status of NAS and its application in semantic segmentation, and interprets two popular works: darts and auto deeplab in detail. Automatic web search Most neural network structures are based on some mature backbones, such as RESNET and mobilenet, which are slightly improved to complete different tasks. Because of this, […]
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Time：2021-8-25
Recently, influenced by COVID-19, the International Conference on voice top conference, which was scheduled to be held in Shanghai and China online from October 25, 2020 to October 29th, was eventually replaced by Interspeech 2020. Jingdong Artificial Intelligence Research Institute has four papers that stand out and are successfully selected for this conference. Respectively inVoice […]
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Time：2021-8-18
Fashion MNIST classification The fashion MNIST dataset is now called the Hello world of deep learning. It replaces the previous handwriting recognition. The reason should be the development of deep learning, handwriting recognition has become too simple. Official examples Official code Try to use convolutional neural network to identify Official convolutional neural network reference Get […]
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Time：2021-8-17
Original link:http://tecdat.cn/?p=22739 This example shows how a function fitting neural network can estimate the percentage of fat (BFP) based on the measurement results 。 Question: estimated fat percentage In this example, we try to build a neural network to estimate a person’s fat percentage, which is described by 13 physical attributes. Age weight height Neck […]
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Time：2021-8-14
Absrtact: with the exponential increase of data volume and the limitation of regular data types, it becomes more difficult to expand the business scenario of in-depth learning. Figure neural network can make more accurate prediction, provide different personalized services for each user and realize accurate marketing, which is also the technical breakthrough for the secondary […]
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Time：2021-8-8
Brief comment: maybe it can be called “rub music” ~ I suggest you take a look at the video examples~ A few days ago, NVIDIA researchers introduced a new depth learning method, which can reconstruct the image content of missing pixels. This method is called “image inpainting”, which can remove unwanted content in image editing […]
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Time：2021-8-4
Transfer from: qubit CNN is indispensable for computer vision. However, convolution, pooling and softmax… What do they look like and how are they connected to each other? Imagine the code out of thin air, which makes people feel a little cold. So, someone simply used unity to give it a complete 3D visualization. Not only […]
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Time：2021-8-2
How to use neural network to make a program for recognizing handwritten digits (taking collab platform as an example) This program platform is collab, that is, Google’s in-depth learning online platform. In order to prevent beginners from being eroded by the complex tensflow environment configuration, we might as well use the online in-depth learning platform […]
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Time：2021-7-26
Summary:This paper introduces the development of graph neural network in academia and industry, gives the basic concept and representation of graph neural network, summarizes the variants of graph neural network, and finally introduces the Huawei cloud graph neural network framework. This article is shared from Huawei cloud community《Rice man, rice soul, understand the graph, neural […]
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Time：2021-7-24
By Muhammad ArdiCompile FlinSource | analyticsvidhya introduce well! I just finished a deep learning project a few hours ago. Now I want to share what I have done. The goal of this challenge is to determine whether a person has pneumonia. If so, determine whether it is caused by bacteria or viruses. Well, I think […]
