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PaddlePaddle-basic-tutorial

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A basic tutorial for paddlepaddle2.0 version

How to read these tutorials

This tutorial is divided into 9 parts, from linear regression to logistic regression. The framework used includes PaddlePaddle2.x low-level API and advanced API.

Each part is described in detail on my corresponding CSDN blog

Result from tutorials

PaddlePaddle Architecture

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Visualization of loss values in AutoEncoder

在这里插入图片描述

Visualization of Data distribution

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VisualDL of UNet Segmentation

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How to contact me

If you encounter any problems in this tutorial notebook, you can contact me, my common QQ mailbox: 876270200@qq.com and my Google mailbox cybergodhao@gmail.com, you can also privately mail me on my CSDN blog or Raise issues on github

Finally, I briefly introduce myself as follows: My name is Guo Quanhao, winner of the national first prize in the National University Optoelectronic Design Competition and second prize of mathematical modeling contest for Postgraduates, 2016 postgraduate recommendation of the University of Electronic Science and Technology, a member of the Momi Visual Lab, familiar with C, Python, stm32, deep learning, if my blog Helpful to everyone, welcome everyone's attention

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A basic tutorial for paddlepaddle2.0 version

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