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Reference material: A note of someone's quantification principles https://blog.csdn.net/sinat_31425585/article/details/101607785 Someone's more detailed introduction to int8 https://zhuanlan.zhihu.com/p/58182172 Someone's understanding of ncnn quantification principles and source codes (ncnn quantization is based on tensorRT improvements) https ...

Chapter 1 Analysis and design of controllable system Learning objectives Understand the application field and development status of the Internet of thingsBe able to describe controllable core functionsBe able to draw a controllable system architectureBe able to complete the preparation of the controllable environment and understand the contro ...

Original link: http://tecdat.cn/?p=25067 This paper describes how to} perform principal component analysis (PCA) using R. You will learn how to} use PCA_ Forecast_ New individual and variable coordinates. We will also provide_ PCA results_ The theory behind it.There are two general methods to perform PCA in R:_ Spectral decomposition_ , check t ...

OKMX8MM-CDevelopment board be based on NXP Corporate i.MX8MM ini quad core 64 bit processor design, using Core board +Backplane structure, with a maximum dominant frequency of 1.8GHz, Cortex -A53 architecture; 2GB DDR4 RAM, supporting a universal Cortex ®- M4 400MHz core processor provides a variety of peripheral interfaces, such as MIPI-CS ...

1, jq zcat client_log_20211226/*.gz | head -n 10000 | jq .event | sort | uniq -c jq is a lightweight json processing command. json data can be sliced, filtered, mapped and transformed jq . Format and output json data Common options -c compact output json data-s reads all inputs into an array-r outputs the original string instead of a ...

Abstract: this project is a deep learning flower recognition and detection system based on keras VGG16 model fine-tuning. It uses cv2 and numpy libraries in Python language to preprocess images, uses keras ImageDataGenerator for data enhancement, and uses Pyqt5 to realize functional visualization, which is convenient for users to detect images. ...

catalogue 1, Manual derivation of logistic regression gradient descent implementation 2, Classification of iris by logistic regression Introduction to iris dataset Introduction to linear classifier Main steps of designing linear classifier 1. Collect a group of samples with category marks X={x1,x2,..., xN} 2. Determine a criterion functi ...

TVM: a quick tutorial for compiling a deep learning model This article will show how to use the Relay python front end to build a neural network and use TVM to generate a runtime library for Nvidia GPU. Note that cuda and llvm are enabled when we need to rebuild TVM. Overview of hardware backend supported by TVM In this tutorial, we use cu ...

AlexNet Preface Knowledge The Macro Framework of Deep Learning: training and inference and Their Application Scenarios json.loads() method of loading json data: used to convert str-type data to dict. Training For example, now you want to train a model that can distinguish between an apple and an orange. You need to search for some pic ...

Resume analysis step (step 2) technology and Implementation (11) qq, email and contact number Following the theory of the previous article: Resume analysis: the commonly received resume is in the form of pictures or documents. We need to extract the text in the resume first, and then carry out algorithm analysis and AI training on the text, s ...