理想汽车电驱平台软件开发实习生-上海
实习兼职动力驱动地点：上海状态：招聘♡ 收藏
工作描述
任职要求 1. 本科及以上学历，自动化、电气工程、计算机科学、数学等相关专业； 2. 编程技能：精通MATLAB/Simulink编程，熟悉神经网络工具箱（Deep Learning Toolbox）、代码生成工具（MATLAB Coder, Simulink Coder）； 3. 理论基础：具备扎实的神经网络基础知识（CNN, RNN, MLP等），了解常用优化算法；对电驱系统或电力电子有一定了解者优先； 4. 代码优化经验：有使用MATLAB进行代码生成（C/C++/CUDA）的实际经验，了解嵌入式系统开发流程，具备代码性…
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包括英文材料
学历+
MATLAB+
https://matlabacademy.mathworks.com/?page=1&sort=featured
Learn MATLAB and Simulink through interactive, in-product exercises
https://www.mathworks.com/help/matlab/getting-started-with-matlab.html
Millions of engineers and scientists worldwide use MATLAB® to analyze and design the systems and products transforming our world.
https://www.youtube.com/watch?v=7f50sQYjNRA
Learn the fundametnals of MATLAB in this tutorial for engineers, scientists, and students.
Simulink+
https://www.mathworks.com/help/simulink/getting-started-with-simulink.html
Simulink® is a block diagram environment for multidomain simulation and Model-Based Design.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
RNN+
https://d2l.ai/chapter_recurrent-neural-networks/rnn.html
A neural network that uses recurrent computation for hidden states is called a recurrent neural network (RNN).
https://www.deeplearningbook.org/contents/rnn.html
Recurrent neural networks, or RNNs (Rumelhart et al., 1986a), are a family of neural networks for processing sequential data.
https://www.ibm.com/think/topics/recurrent-neural-networks
A recurrent neural network or RNN is a deep neural network trained on sequential or time series data to create a machine learning (ML) model that can make sequential predictions or conclusions based on sequential inputs.
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