Programmer Group

Tip: after the article is written, the directory can be generated automatically. Please refer to the help document on the right for how to generate it preface This paper mainly records some classical convolution network architectures and the corresponding pytorch code. Tip: the following is the main content of this article. 1, LeNet ...

Author home page( Silicon based workshop of slow fire rock sugar): Slow fire rock sugar (Wang Wenbing) blog silicon based workshop of slow fire rock sugar _csdnblog Website of this article: https://blog.csdn.net/HiWangWenBing/article/details/120600621 catalogue Introduction deep learning model framework Chapter 1 business area analysis on ...

Jaccard Index (IoU, degree of overlap)    Jaccard Index (Jaccard coefficient), or Jaccard Overlap (Jaccard Overlap) or intersection over Union (IoU), measures the degree of overlap between the two frames. This index can reflect the proximity between the prediction frame and the real frame, which will be used in calculating loss and N ...

It is very difficult to train deep neural networks, especially in short practice. In this section, we will introduce batch normalization, which is a popular and effective technology to continuously accelerate the convergence speed of deep networks. After the combination, the residual will be introduced quickly, and batch normalization enables r ...

ResNet has greatly changed the view of how to parameterize functions in deep networks. DenseNet is a logical extension of ResNet to some extent. Let's start with math. From ResNet to DenseNet Recall the Taylor expansion of an arbitrary function, which decomposes the function into higher and higher order terms. stay ...

Histogram based on OpenCV4 Image histogram is an important statistical feature of an image. It represents the statistical relationship between each gray level in a digital image and the frequency of the gray level (the number of gray levels). According to the definition of histogram, it can be expressed as: ...

In the actual process of building neural network, forward propagation is easy to realize and has high correctness; The implementation of back propagation is difficult, and there are often bug s. For items requiring high accuracy, gradient test is particularly important. Principle of gradient test The definition of derivative (gradient) in mat ...

1. Overview This is an application for target detection, followed by target detection (28 messages) YOLOv5 training its own dataset _ONEPIECE_00's blog - CSDN blog And target positioning (28 messages) Target Detection and Target Location _ONEPIECE_00 Blog-CSDN Blog To determine whether there are people on the seat based on the results of the d ...

Reuters data set For this news data set, this is a multi classification problem Dataset characteristics: Text classification datasetContains 46 different topicsThere are at least 10 samples for each topic in the training setThe dataset is in Keras and can be directly transferred in Difference between multi classification problem and ...

Chinese history [Yandi Shennong tasted hundreds of herbs]: In ancient China, the leader of the tribe surnamed Jiang was honored as Shennong, also known as Lieshan. It is said that "Shennong tastes all kinds of grass" and teaches people medical treatment and farming. The Chinese regard it as the legendary inventor and patron saint of a ...