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Introduction to machine learning for programmers (XI) - object recognition YOLO - recognition of face position and whether to wear a mask This article will introduce the most popular object recognition model YOLO. YOLO is characterized by fast recognition speed 🤗， However, the accuracy is only a little worse than that of fast RCNN (after YOL ...

Original link: https://blog.csdn.net/weixin_40571937/article/details/103518331 Reference source: https://blog.csdn.net/mr_corder/article/details/82492981 I The concept of reinforcement learning (reinforcement learning): Machine learning algorithms can be roughly divided into the following three types: Supervised learning (e.g. regression, cl ...

1. Feature digitization 1.1 Replace() function import pandas as pd df = pd.DataFrame({"gene_segA": [1, 0, 0, 1, 1, 1, 0, 0, 1, 0], "gene_segB": [1, 0, 1, 0, 1, 1, 0, 0, 1, 0], "hypertension": ["Y", 'N', 'N', 'N', 'N', 'N', 'Y', 'N', 'Y', 'N'], "Gallstones": ['Y', 'N', 'N', 'N', 'Y', 'Y', 'Y', 'N', 'N', 'Y'] }) df df.replace({"N": 0, 'Y': ...

catalogue 1. Basic definitions 2. Algorithm principle 2.1 advantages and disadvantages of the algorithm 2.2 algorithm parameters 2.3 variants 3. Distance formula in the algorithm 4. Case realization 4.1 reading data 4.2 separate training set and test set 4.3 normalization 4.4 calculating Euclidean distance 4.5 # sorting and outputti ...

Feature category Common feature types include: numerical feature, category feature, sequence feature, k-v feature, embedding feature, cross feature, etc. 1. Numerical characteristics Numerical features are the most common, such as some statistical features: ctr, click_num, etc. in different business scenarios, the amount of numerical feature ...

Caffe learning (8) unbutun18 Configure Caffe OCR under 04 preface Whereas https://github.com/senlinuc/caffe_ocr There is no linux version. Here is a record of how to convert the Windows version to the linux version Preparation stage https://github.com/senlinuc/caffe_ocr https://github.com/BVLC/caffe Installing caffe Here is mainly to ...

reference resources: CRF++: Yet Another CRF toolkitCRF + + usage: Chinese TranslationModel DownloadModel installation and training   train Mode 1: % crf_learn template_file train_file model_file Where template_file and train_file files that need to be prepared in advance. crf_learn in model_file to generate the trained model file. The tra ...

Background knowledge required for reading this article: hard interval support vector machine, relaxation variables, yidui programming knowledge1, Introduction   in the previous section, we introduced a most basic support vector machine model - hard interval support vector machine. This model can classify linearly separable data sets, ...

The fourth chapter introduces the implementation of a two-layer neural network, in which the method of obtaining the gradient is numerical differentiation. This method is relatively simple, but the speed is slow. This will greatly affect the performance of neural network. This paper introduces a faster method to obtain the gradient, whic ...

Hello, guys, long time no see... (really * long time no see =.) I haven't written a blog for a long time. To apologize, I spent the whole day on the big guys today ~ that's the theme I'm going to talk about this time - Luwu~ So, what is Luwu? It's a spicy chicken open source project written by bencai chicken What's the use of this spicy ch ...