Programmer Think

In the first two articles, we have introduced the autoregressive model pixelcnn and how to deal with multidimensional input data. In this article, we will focus on one of the biggest limitations of pixelcnn (i.e. blind spots) and how to improve it to repair it.In the first two articles, we introduced the concept of generating model PixelCNN and ...

Summary 1 I was very lucky to participate in the 2021 engineering training provincial competition, which was the first provincial competition since my university. Although I didn't enter the national competition, I was quite satisfied with my achievements. The following are some problems we encountered during the preparation and our own so ...

Recently, when writing a paper, I encountered the problem of feature graph visualization, so I sorted the methods to solve this problem into notes. 1: Why visualization? It is often said that the essence of CNN is to extract features, but we don't know what features it extracts, which regions really play a role in recognition, or what the net ...

About Yolo 5's model training Author: fat orange preface With the continuous development of artificial intelligence, the technology of model training is becoming more and more important. Many people have opened the chapter of learning model training. Now I will introduce the basic content of model training. preparation data setlabelI ...

Introduction to FTP protocol: FTP protocol is a file transfer protocol, which acts on the application layer. Its function is to realize the file transfer between the server and the client (C/S architecture). The transmission uses the plaintext transmission of TCP connection (command channel and data flow channel). FTP protocol needs two TCP ha ...

Like RNN neurons, LSTM neurons can maintain memory in their pipeline to allow solving sequence and time problems without disappearing gradient problems affecting their performance. Using the ancient poetry data set, the LSTM neural network model is used to train and automatically generate Chinese Tibetan head poetry. import pandas as pd i ...

Volume III Chapter IV training Alex net on ImageNet In the previous chapter, we discussed ImageNet dataset in detail; Specifically, the directory structure of the dataset and the supporting meta files used provide class labels for each image. We define two sets of files:         1. A configuration file ...

Introduction of preface It must be easy for everyone to encounter such problems when doing yolo target detection. In fact, I don't want to detect the items in a part of the picture. It doesn't matter Just like this corner, I only want to detect the target of the front channel. This corner should be handed over to another camera for recogn ...

Original link: http://tecdat.cn/?p=6714Original source: Tuo end data tribal official accountIt is common that image classification models must be trained with very little data, which may be encountered in practice if you conduct computer vision in a professional environment. "Few" samples can represent anywhere from hundreds to tens o ...

Pytorch autoencoder (self coding, unsupervised learning) 1, Compression and decompression There is a neural network. What it is doing is receiving a picture, then coding it, and finally restoring it from the coded picture Assuming that the neural network is like this, corresponding to the picture just above, we can see that the picture is ...