basic tutorial for tensorflow1.x
and also for TensorFlow2.x
This tutorial is divided into 10 parts, from linear regression to logistic regression. The framework used includes TensorFlow 1.x version and TensorFlow 2.x low-level API and its application of high-level API Keras
Each part is described in detail on my corresponding CSDN blog
The compilation environment is win10, which uses the TensorFlow-GPU version, of which TensorFlow1.15.2 used by TensorFlow1.x and TensorFlow2.0.0 used by TensorFlow2.x, some of the larger models are trained by Google Colab, and all corresponding notebooks are all Given, this part is mainly GAN and CGAN, the following will show some of the results obtained in this tutorial
TensorFlow1.x Architecture
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, 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