[Flying Paddle] Target Detection YOLO-V3 Study Notes

Before learning this course, I heard the name of YOLO. During the epidemic, an up master trained the detection of pedestrian masks through yolo and it was a great success. Without further ado, let's start learning. Basic Concepts in Object Detection Before starting to learn YOLO, first learn some basic concepts of target detection. After all, Y ...

Posted by Pro Ninja on Fri, 20 May 2022 08:48:32 +0300

Python 3.11 is 60% faster than 3.10: using bubble sorting and recursive function comparison test

Python 3.11 pre release has been released. The update log mentions:Python 3.11 is up to 10–60% faster than Python 3.10. On average, we measured a 1.25x speedup on the standard benchmark suite. See Faster CPython for details. — Python 3.11 Changelog.The speed of Python in the production system has always been compared and roast by novices., Beca ...

Posted by netcoord99 on Wed, 18 May 2022 09:01:12 +0300

Application case of machine learning logistic regression algorithm

Application case of machine learning logistic regression algorithm Time: September 12, 2020 source: https://www.kesci.com/home/project/5bfe39b3954d6e0010681cd1 Note: for beginners of logical regression, I followed the blog boss's article and left a record for later reading, which is also for everyone to learn.. 1. Data This data is Kaggle's ...

Posted by savj14 on Wed, 18 May 2022 07:40:03 +0300

Bayesian experiment report

1, Experimental purpose Learn how to infer the behavior model and solve the problem by using the short message mca-3. 2, Experiment contents and steps (including problems, codes, results and conclusions) 2.1 SMS data inference behavior Title: code: Data reading and display: import pymc3 as pm import matplotlib.pyplot as plt import nump ...

Posted by GYK on Mon, 16 May 2022 22:26:11 +0300

A few lines of code to easily realize the task of target detection and image classification -- building an enterprise machine learning micro service based on Spring Boot and DJL

Now there seems to be a trend in the field of AI applications. Most learning applications are in Python. Spring Boot is an open source platform widely used in the field of microservices. Users can use Stock API to create an RPC API based on C + + or Python applications to realize reasoning tasks in different languages. However, this will bring ...

Posted by UKlee on Mon, 16 May 2022 07:22:16 +0300

Neural Networks to Solve Multi-Classification Problems Example: Digit Recognition

content Neural Networks to Solve Multi-Classification Problems Example: Digit Recognition 1. Visualizing the data 2. Designing Nural Network 3. Write the cost function calculation function (nnCostFunction) 3.1 Implement the necessary tool functions 3.2 Normalized matrix definition 3.3 Implement forward propagation (Feedforward) 3.4 Implemen ...

Posted by jaoudestudios on Mon, 16 May 2022 01:00:12 +0300

NLP learning - text classification of NLP practice - Chinese spam classification - Python 3

1, Implementation steps of text classification: Definition stage: define the data and classification system, which categories are divided and which data are needed Data preprocessing: prepare documents for word segmentation and de stop words Data extraction features: reduce the dimension of the document matrix and extract the most useful featu ...

Posted by lucerias on Mon, 16 May 2022 00:57:33 +0300

Linear regression prediction of Boston house prices

1, Experimental purpose 1. Understand the basic principle of linear regression and master the basic formula derivation. 2. Be able to manually implement fit and predict functions in LinearRegression by using formulas. 3. Be able to use the LinearRegression realized by yourself and the LinearRegression in sklearn to predict the house price in ...

Posted by murpe on Sun, 15 May 2022 22:10:37 +0300

Object search, detection and recognition using OpenCV

In this tutorial, we will understand the important concept called "selective search" in object detection. We will also share OpenCV code with C + + and Python. Object detection and object recognition The object recognition algorithm recognizes which objects exist in the image. It takes the whole image as the input and outputs the cl ...

Posted by master82 on Sun, 15 May 2022 11:40:45 +0300

[pytorch] code implementation of ECA-NET attention mechanism applied to ResNet

1, Foreword Introduction to ECA-NET(CVPR 2020): Thesis title:ECA-Net: Effificient Channel Attention for Deep Convolutional Neural NetworksThesis address:https://arxiv.org/abs/1910.03151Open source code:https://github.com/BangguWu/ECANet As a lightweight attention mechanism, ECA net is actually an implementation form of channel attention mecha ...

Posted by phpflixnewbie on Sun, 15 May 2022 01:47:39 +0300