Programmer Think

Distributed operation Barrier of PyTorchOriginal document: https://www.yuque.com/lart/ug...On the concept of barrierFor the concept of barrier, please refer to the introduction in Wiki: synchronization barrier is a synchronization method in parallel computing. For a group of processes or threads, a synchronization barrier in the program means t ...

Web crawler + deep learning to predict happiness 8 lottery winning tutorial background Happy 8 lottery inquiry: https://www.zhcw.com/kjxx/kl8/ Happy 8 game rules: https://www.zhcw.com/c/2020-09-22/618869.shtml Theme of this project: use crawler to crawl the winning information of lottery happy 8 and use LSTM to predict. import json import m ...

Most of the search for overlapping areas on the Internet is to establish a kdtree for one point cloud, and then search the points of another point cloud within the r radius. This method is suitable for two point clouds, which are exactly the same. The general point cloud data are not exactly the same. For example, the point clouds of two fl ...

During school, I mainly studied machine learning and algorithms. I came into contact with big data by chance, and then I started big data. So far, I have also been engaged in the development of big data platform. However, I still cling to AI technology. I usually do some small things related to machine learning, try some demo s, and think that ...

preface Hi! hello everyone! Recently, most of the hot lists on CSDN are Python crawler articles. It can be seen that everyone's enthusiasm for Python is still very high, so I code this article overnight these days in combination with some tutorials. If you want technical exchange, you can go to my home page and have technical exchange together ...

ASR (speech recognition) journey from scratch 1, Introduction to speech recognition Speech recognition technology, also known as Automatic Speech Recognition (ASR), aims to convert the vocabulary content in human speech into computer-readable input, such as keys, binary codes or character sequences. Unlike speaker recognition and speaker ...

Today, let's look at an interesting problem in data preprocessing: how to deal with missing values. Before we discuss the problem, let's review some basic terms to help us understand why we need to focus on missing values. The content of this article is long. I suggest learning after collection. I like to praise and support it. catalogue Int ...

1: Image addition You can use the function CV2 Add() adds two images. Of course, numpy, res=img1+img can also be used directly. The size and type of the two images must be the same, or the second image can make a simple scalar value. Note: addition in OpenCV is different from addition in Numpy. OpenCV addition is a saturation operation, whil ...

Where is the video memory used? Generally, when training neural networks, the memory is mainly occupied by network models and intermediate variables. The parameters of convolution layer, full connection layer and standardization layer in the network model occupy the video memory, while the activation layer and pooling layer do not occupy ...

The embedded system raspberry pie 3B realizes the acceleration of pytorch calculation through GPU General idea The cross compilation environment is a raspberry pi 3B docker imageUsing the open source GPU library on github QPULibInstall pytorch on raspberry pie and accelerate the process through cross compilationProvided via pytorch Interface ...