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1, Basic operation Chinese document of pythonPytorch https://pytorch-cn.readthedocs.io/zh/latest/package_references/torch-optim/ 1, Anaconda basic operation 1,use conda establish Python Virtual environment (in) conda prompt (completed in environment) conda create -n environment_name python=X.X 2,Activate virtual environment (in) conda prom ...

This article is reproduced from: https://zhuanlan.zhihu.com/p/36233589 Record learning only~ summary This chapter is just a summary of the routine operation of pytorch. It's good to have an impression in your mind. You know that there is such a thing. You can look at it in detail when you need it. In addition, you still need to use it in prac ...

1. GraphSAGE import Thesis title: Inductive Representation Learning on Large Graphs Author: William L. Hamilton, Rex Ying and Jure Leskovec Graph neural network methods proposed before GraphSAGE, such as DeepWalk and GCN, belong to transmissive models. When the structure of the network changes a little, such models need to be retrained, ...

To illustrate the environment, the code is implemented in C + +, but the matrix operation is not implemented in C + +. Making wheels by yourself is a waste of time and unnecessary. Therefore, the Eigen library is used for matrix operation, and the codes of other functions are implemented by yourself. 1, Environment configuration The Eigen mat ...

Early Stopping Brief Introduction When we train deep learning neural networks, we usually hope to obtain the best generalization performance. However, all standard deep learning neural network structures such as MLP are easy to over fit: when the error rate of the network in the training set is getting lower and lower, in fact, at a certa ...

Multilayer perceptron Both linear regression and softmax regression are single-layer neural networks. However, deep learning mainly focuses on multi-layer models. Taking multilayer perceptron (MLP) as an example, the concept of multilayer neural network is introduced. Hidden layer Multilayer perceptron introduces one or more hidden layer ...

Training data generation Detailed step reference Modification of configuration file This article takes the human hand detection as an example (there is only one label: hand) Add or modify data / hand Names file, which records labels, one label per line (Note: labels corresponding to training data)Add or modify CFG / hand Data file, the cont ...

sigmoid activation function Function expression: Function image: From this figure, we can see the following characteristics of sigmoid activation function: 1. When the input is greater than zero, the output must be greater than 0.5 2. When the input exceeds 6, the output will be infinitely close to 1, and the discrimination function of ...

Python note12 multilayer neural network Multilayer neural network In the previous, we learned about the two most common models in the field of machine learning, linear regression model and Logistic regression model. They deal with the two most common problems in machine learning - regression problem and classification problem respectively ...

1. Knowledge reserve yolo series theory learning pytorch version yolov4 tiny practice Practical video explanation After learning the above contents, you should be able to master yolov4-tiny model structure and data processing method 2. Hand tear caffe model 1,Download yolov4 tiny model and weight based on darknet framework Find yolov4 tiny ...