Tensorflow - gpu custom object detection api installation TUTORial part-1 смотреть онлайн

if you have gtx 1050 ti or higher 4 gb ram and 1060 1080 1070 ti cards will only intstall tensorflow 2 or else you cant for more information see this video
https://www.youtube.com/watch?v=6g4O5UOH304
cuda-10
cudnn-7.6
tensorflow GPU -2
Python 3.7 installation complete TUTORIAL

ubantu based

Tensorflow GPU 2 installation TUTORial s
Anaconda
https://youtu.be/-kwcwCS_F20

[1/2, 19:20] bolacalculus: https://youtu.be/V5ALBRgGbp0
[1/2, 19:20] bolacalculus: https://youtu.be/_lLagHH42qo
[1/2, 19:23] bolacalculus: https://youtu.be/sdKFgUm5zZA

Chat not

https://www.youtube.com/playlist?list=PLTWFMbPFsvz3nO1NOZGswN4KGKEUksZzz


Tensorflow on arch Linux and ubantu

https://www.youtube.com/playlist?list=PLTWFMbPFsvz1yKK8WwSCdVRT4_PsrXdLF

https://youtu.be/CjrRFbQwKLA



why we should install .run files and not Debian during cuda installation is given below
https://askubuntu.com/questions/1028830/how-do-i-install-cuda-on-ubuntu-18-04

to test tensorflow installed for GPU use these below code or the details in the website

import tensorflow as tfwith tf.device('/gpu:0'):a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')c = tf.matmul(a, b)sess = tf.Session(config=tf.ConfigProto(log_device_placement=True))# Runs the op.print(sess.run(c))
https://medium.com/@naarkie/using-tensorflow-gpu-on-a-compute-3-0-graphics-card-in-windows-4184f4228fe9