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Reprinted from https://blog.csdn.net/dz4543/article/details/90049377 Detailed analysis of YOLOv3 network structure Based on keras yolov3, understand the principle and code details Thesis address: https://pjreddie.com/media/files/papers/YOLOv3.pdf yolov3 official website: https://pjreddie.com/darknet/yolo/ Keras version recommendation: https: ...

view and reshape operations The functions and usage of the two are the same, but it is necessary to ensure that the overall size of the view remains unchanged, that is, numel () is consistent view operation will lose dimension information. Remember the storage order of data a = torch.rand(4,1,28,28) b = a.view(4,28*28) #Two dimens ...

Python wechat ordering applet course video https://edu.csdn.net/course/detail/36074 Python actual combat quantitative transaction financial management system https://edu.csdn.net/course/detail/35475 The code used to process data samples may become messy and difficult to maintain; Ideally, we want to decouple the dataset code from the model t ...

Artificial intelligence learning is inseparable from the verification of practice. It is recommended that you can learn more in Flyai AI competition service platform Take part in more training and competitions to improve your ability. FlyAI is a one-stop service platform that provides AI developers with data competition and supports GPU offli ...

catalogue 1, Basic process of text generation and Translation Training and decoding of translation models Training process Decoding process Training and decoding of generation class model (GPT Series) Training process Decoding process 2, Decoding strategy 1. Greedy search 2,beam_search cluster search 3. Random sampling 4. Top-K Samp ...

This blog post will be released in Nuggets community first! preface Through the previous introductions, we probably know some basic concepts of tensor of our pytorch, as well as some details of our gradient and tensor replication. Tensor is very similar to numpy to a great extent. In some cases, we can even use tensor directly for calcul ...

A renaissance CNN network VGG is implemented on the cirfa10 data set 🙋‍♂️ Classmate Zhang, zhangruiyuan@zju.edu.cn Please contact me if you have any questions~ 0. Background introduction I'm doomed not to sleep well tonight. I want to build a CNN network by myself to deepen my knowledge. When I studied in depth some time ago, ...

Network optimization exercises 0. Overview Among them, Dropout and Weight Decay are two methods that have been practiced in future experiments (fitting thematic). In this experiment, we will practice some other important network optimization methods. These include: (1) Small batch gradient drop (this section will discuss the setup of ba ...

Study Preface Visual Transformer is very hot recently. I'll learn from VIT first. What is Vision Transformer (VIT) Vision Transformer is the visual version of transformer. Transformer has basically become the standard configuration of natural language processing, but its application in vision is still limited. Vision Transformer breaks ...

This paper mainly refers to DataWhale graph neural network team learning The statistics of the three data sets are as follows: data setCoraCiteSeerPubMedNumber of nodes2708332719717Number of sides5278455244324Number of training nodes14012060Number of verification nodes500500500Number of test nodes100010001000Number of node categories763Featur ...