offline image classifier in tensorflow without Docker

Placeholders are objects that allow you to feed in
data of a specific type and shape and depend on the results of the computational graph, such
as the expected outcome of a computation.

if you have errors installing the extra depandency and have some clash so please use time shift or restore the system back to the date where your tensorflow seems to be working fine


my environment variables i used are below which does not result in any hardlink soft link clach and also clash between dependency but installing tensorflow inside a virtual environment will be a good practice
export PATH="/usr/local/cuda-9.0/bin:$PATH"
export LD_LIBRARY_PATH="/usr/local/cuda-9.0/lib64:LD_LIBRARY_PATH"

export PKG_CONFIG_PATH=/usr/local/lib/pkgconfig:$PKG_CONFIG_PATH


export CPATH="/usr/include/hdf5/serial/"


https://github.com/MicrocontrollersAndMore/TensorFlow_Tut_2_Classification_Walk-through

https://www.youtube.com/watch?v=oXpsAiSajE0

if you guys have a problem in installing tensorflow in ubantu 18.04 bionic beaver and linux mint -19 follow this tutorial below where you can install tensorflow without error is it easier to setup tensorflow on ubuntu compared to windows? i am getting so many errors, usually related to the path variables on windows.

https://medium.com/@ndaidong/setup-a-simple-environment-for-deep-learning-dc05c81c4914