PaddlePaddle-basic-tutorial
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
PaddlePaddle tutorial Ⅰ——Multiple linear regression
PaddlePaddle tutorial Ⅱ——Multiple linear classification
PaddlePaddle tutorial Ⅲ——Fashion-Mnist Full Connect Networks
PaddlePaddle tutorial Ⅳ——AutoEncoder
PaddlePaddle tutorial Ⅴ——Cifar10 Convolutional Neural Networks
PaddlePaddle tutorial Ⅵ——VGG transfer Learning
PaddlePaddle tutorial Ⅶ——Augmentation for Image
PaddlePaddle tutorial Ⅷ——UNet of Segmentation
PaddlePaddle tutorial Ⅸ——LSTM for Classification & Regression
Result from tutorials
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