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EE308 LAB1

AllenCoraline 2021-09-14 00:46:19
The Link Your Classhttps://bbs.csdn.net/forums/MUEE308FZ?category=0
The Link of Requirement of This Assignmenthttps://bbs.csdn.net/topics/600546911
The Aim of This AssignmentSelf Introduction & Cource Plan
MU STU ID and FZU STU ID19104308_831901320

Self Introduction:

I am Yuhan Zheng, an EE student from FZU Maynooth school. I am from Fuzhou and graduated from Fuzhou No.5 Middle School. I took Python and C++ courses in the first two years of college. In my freshman year, I joined the Intelligent Transportation Laboratory of The School of Civil Engineering, Fuzhou University, and studied intelligent transportation and deep learning. In the laboratory study, I participated in the provincial SRTP project and proposed (BTMGCN) a deep learning framework for traffic flow prediction based on Transformer's multi-graph convolutional neural network. The network can recognize several different types of semantic associations, encode the non-Euclidean spatial associations and heterogeneous semantic associations between roads into multiple graphs, and model the associations through multi-graph convolution network. Then, the fully connected neural network is used to fuse the spatio-temporal correlation and global features, and finally, the traffic flow is predicted.

Skills:

  • I have foundation in basic algorithms, Server cluster management , network penetration and neural network algorithms.

  • I can use C, C++, Python to program.

Interests:

  • Neural network algorithm

  • Network security

Shortcoming:

  • I haven't studied programming codes deeply enough, so I often use neural network codes written by others to modify parameters on GitHub. In terms of data processing.

  • I have not yet learned the programming knowledge of Pandas and NumPy libraries, but I have a special need for them

  • I still lack basic computer knowledge, such as network protocol and computer composition principle

  • As far as teamwork is concerned, I often do all the coding on my own and have little to do with collaborative code projects. I am very glad that this course will help me learn more about teamwork, but it may require me to learn about GitHub Git collaboration

Coding Quantity:

It is not easy to estimate, mainly from the assignments and projects of the previous two years. Because some of them were found on GitHub and parameters were modified, but the number of codes I wrote was about 5000-8000.I think by the end of the course I'll have written about 3000 code.

Course Planning:

In this course, I want to learn more about programming, and at the same time, I want to gain teamwork experience, learn how to work efficiently and how to take responsibility in a team. In addition, I am still weak in algorithms and software engineering codes, and I hope to learn this knowledge efficiently.

 

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Kim 4天前

1.the content of SELF INTRODUCTION is substantial.
2.you'd better to let your program speak for you rather than tha pale words 'I can...','I master...'

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EE308 MIEC
创建于2021-09-10

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