Tag：matrix
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Time：2021-9-17
By purva huilgolCompile FlinSource | analyticsvidhya Start your deep learning career? For novices, deep learning is a complex and daunting field. Concepts such as hidden layer, convolutional neural network and back propagation continue to appear when you try to master the topics of in-depth learning. It’s not easy – especially if you’re on an unstructured […]
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Time：2021-9-5
matrix The first method is to write in matrix, pMatrix, bMatrix, bMatrix, vmatrix or vmatrix environmentFor example,1. \begin{matrix} 0 & 1 \\ 1 & 0 \end{matrix} As shown in the figure below:2. \begin{bmatrix} 0 & -i \\ i & 0 \end{bmatrix} Mathematical symbols This work adoptsCC agreement, reprint must indicate the author and the link […]
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Time：2021-8-30
Original link:http://tecdat.cn/?p=5658 Original source:Tuo end data tribal official account Create topic network Research publications in Social Sciences, computers and informatics by analyzing texts and co-author social networks. One of the questions I have encountered is: how to measure the relationship (relevance) between themes? I want to create a web visualization that connects similar topics and […]
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Time：2021-8-22
This article is published in the official account of the self. The original is written by Lee, and has been authorized by the original author. This issue brings you the last part of the summary of the basic knowledge of graph theory. Most of the production materials of slides come from the Internet, and most […]
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Time：2021-8-19
Maybe you’ve seen a lot of stories about how to ask some strange algorithm questions in the interview. To tell you the truth, it’s no shame that you can’t tear the red and black tree by hand. It’s difficult to make dynamic planning. It doesn’t matter if you don’t have ideas, but I still hope […]
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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：2021-8-16
Original link:http://tecdat.cn/?p=22762 Principal component analysis is a commonly used dimensionality reduction algorithm in data mining. It is a multivariable statistical method proposed by Pearson in 1901 and later developed by hotel in 1933. Its main purpose is “dimensionality reduction”. By extracting the largest individual differences shown by principal components, it can also be used to […]
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Time：2021-8-15
Absrtact: numpy is one of the most important extension libraries of Python. It is also a necessary tool for getting started with machine learning programming. A foreign programmer said that the basic operations of numpy were written down graphically, making the learning process easy and interesting. Numpy is one of the most important extension libraries […]
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Time：2021-8-10
Recently, someone asked me how to study image processing, how to get started and how to apply it. I was speechless for a moment. Think about it carefully. I have also done two years of image research, done two innovative projects and issued two papers. It is also a little experience, so I summarize and […]
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Time：2021-8-10
preface Word embedding is one of the most commonly used technology points in the whole natural language processing (NLP), which is widely used in enterprise modeling practice. Using word embedding, we can map natural text language into computer language, and then input it into neural network model for learning and calculation. How to better understand […]
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Time：2021-8-7
1. Matrix keyboard vs independent keys In the process of MCU application development, independent keys are common, but when a large number of keys are required, the use of matrix keyboard can reduce IO occupation and improve the utilization of system resources. For example, a MCU project requires 16 buttons. If the independent key scheme […]
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Time：2021-8-1
When making investment strategies, we often study the correlation between stocks. Study the correlation of individual stocks or the correlation between individual stocks, indexes and ETFs, so as to obtain stable returns through hedging arbitrage. Find the most relevant stocks, either based on the experience of traders or based on the relevant information of stocks […]
