Fundamentals of robot learning algorithm - day1

Scikit learn and Feature Engineering "Data determines the upper limit of machine learning, and the algorithm only approximates this upper limit as much as possible". This sentence well expounds the importance of data in machine learning. Most of the data taken directly are not obvious, unprocessed, or there are a lot of useless d ...

Added by tex1820 on Tue, 30 Nov 2021 15:07:30 +0200

Matplotlib data visualization

Task05 This study refers to Datawhale open source learning: https://github.com/datawhalechina/fantastic-matplotlib The content is generally derived from the original text and adjusted in combination with their own learning ideas. Personal summary: 1. There are four common style methods: predefined style, custom style, rcparams and matplot librc ...

Added by cheshil on Sun, 28 Nov 2021 16:47:58 +0200

Python computer vision -- face recognition in images and videos

I will share some of the articles and papers I refer to - the links are posted in the original text. I upload the papers to the resources, and you can download them for free. If you can't find the papers in the resource area that day, wait. They may be under review, and you can download them after review. Let's study together and make progress ...

Added by TylerL on Fri, 26 Nov 2021 00:05:28 +0200

C #&& realize socket sending data

catalogue 1) Write a simple hello world program of command line / console in C#, Java or python to realize the following functions: continuously output 50 lines of "hello cqjtu! Re handover IOT level 2019" on the screen; At the same time, open a network UDP socket and send these 50 lines of messages to another roommate's computer ...

Added by dupreelove on Thu, 25 Nov 2021 22:56:22 +0200

[machine learning practice] Logistic regression

1, Introduction to Logistic regression Logistic regression is a widely used classification machine learning algorithm. It fits the data into a logistic function (or logistic function), so as to predict the probability of events. To say logistic regression, we have to trace back to linear regression. We must all have a certain understanding of ...

Added by opalelement on Mon, 22 Nov 2021 14:44:53 +0200

Explore YOLO v3 source code - conclusion prediction

Explore YOLO v3 source code - conclusion prediction Updated: Part 1 training: https://mp.weixin.qq.com/s/T9LshbXoervdJDBuP564dQ Part 2 model: https://mp.weixin.qq.com/s/N79S9Qf1OgKsQ0VU5QvuHg Part 3 network: https://mp.weixin.qq.com/s/hC4P7iRGv5JSvvPe-ri_8g Chapter 4 truth value: https://mp.weixin.qq.com/s/5Sj7QadfVvx-5W9Cr4 ...

Added by jtrost on Mon, 22 Nov 2021 13:35:04 +0200

Follow Li Mu to learn AI for the purpose of small paper

Learn about data preprocessing d2l.DATA_HUB['fra-eng'] = (d2l.DATA_URL + 'fra-eng.zip', '94646ad1522d915e7b0f9296181140edcf86a4f5') #@save def read_data_nmt(): """Load English-French dataset.""" data_dir = d2l.download_extract('fra-eng') with open(os.path.join(data_dir, 'fra.txt'), 'r', enc ...

Added by tekparasite on Sun, 21 Nov 2021 06:13:13 +0200

kaggle_ Introduction to Titanic combat

preface In order to record my learning process, I have roughly sorted out the analysis process. The tool is to use Jupiter notebook, which I prefer, and then export it into md format and send it to csdn to share with you; This is only a simple analysis process, so it is relatively simple. If there is something wrong, I hope you can include it ...

Added by pesale86 on Sat, 20 Nov 2021 22:47:26 +0200

LightGBM+OPTUNA super parameter automatic tuning tutorial (with code framework)

Hello, I'm brother Shuai. The original series is continuously updated. Welcome to wechat search "Python data science" to read the machine learning series. Recently, a parameter adjusting artifact on kaggle is very popular and appears frequently in the top scheme. It is OPTUNA. I know that many small partners are worried about the lon ...

Added by oprpg on Sat, 20 Nov 2021 01:20:28 +0200

Python white OpenCV learning lesson from scratch - 6. Gray transformation and histogram processing

OpenCV learning lesson from scratch - 6. Gray transformation and histogram processing This series is for Python Xiaobai and explains the actual combat of OpenCV project from scratch. The image processing method in spatial domain directly processes the pixels of the image. The image processing technology in spatial domain mainly includes gray ...

Added by fireMind on Fri, 19 Nov 2021 09:18:57 +0200