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1. General 1.1 industry background and pain points Lithofacies analysis is a research work based on the microscopic description and classification of rock slices. It is also an important technology in the study of sedimentation and diagenesis. It has a basic guiding position for the engineering practice of oil and gas exploration and developm ...

Common loss function learning essays Learning objectivesKnow the loss function of classification taskKnow the loss function of the regression task In deep learning, loss function is a function used to measure the quality of model parameters. The measurement method is to compare the difference between network output and real output. The name ...

Pytorch: Overview of target detection networks, indicator calculation and use of pre-training networks Copyright: Jingmin Wei, Pattern Recognition and Intelligent System, School of Artificial and Intelligence, Huazhong University of Science and Technology Pytorch Tutorial Column Link This tutorial is not commercial and is only for lear ...

1, Pool layer Pooling operation: to "collect" and "summarize" signals, which is similar to the pool collecting water resources, so it is named pooling layer. Collection: from changeable to less, the size of the image changes from large to smallSummary: maximum / average The following is a schematic diagram of maximum pooli ...

System tutorial Take pytoch in 20 days Recently and Middle brother,Huige Carry out a small punch in activity, 20 days pytorch, which is the fourth day. Welcome to triple click. The outbreak of the novel coronavirus pneumonia in 2020 has caused many aspects of the lives of people of all countries. Some students are income, some students ...

Abstract: YOLOv5 is not a single model, but a model family, including YOLOv5s, YOLOv5m, YOLO This article is shared from Huawei cloud community< YoloV5 actual combat: teach object detection by hand -- YoloV5 >, author: AI Hao. abstract Strictly speaking, yoov5 is not the fifth version of YOLO, because it has not been recognized by ...

Original link: http://tecdat.cn/?p=18149Original source: Tuo end data tribal official accountDriverless cars can be traced back to 1989. Neural networks have existed for a long time. What are the reasons for the upsurge of artificial intelligence and deep learning in recent years? [1 second] part of the answer lies in Moore's law and the signif ...

preface This article is reproduced in PyTorch deep analysis: how to save and load PyTorch model? The saving and loading methods of PyTorch model are explained in detail.   catalogue preface 1. You need to master three important functions 2 state_dict 2.1 state_ Introduction to Dict 2.2 saving and loading state_dict (already trained, no ...

stay Introduction to PyTorch's deep learning practice notes 12 - Fundamentals of circular neural network RNN is briefly introduced in. In the next 13 lectures, we introduce an application of neural network: implementing a classifier of cyclic neural network. 1 RNN Classifier – Name Classification Use RNN as a classifier. Look at this que ...

Initial value of weight (the pit here is too deep. This article is just an introduction to in-depth learning and will not pursue theory in detail) In the learning of neural network, the initial value of weight is particularly important. In fact, what kind of weight initial value is set is often related to the success of neural network lea ...