Tensorflow Installation via Wheel file in a minute
1. Download the required tensorflow version (whl file) from the below link:- https://pip.aws.lolatravel.com/pip/dev/+simple/tensorflow-gpu/ Please check the compatibility with versions on https://www.tensorflow.org/install/source#common_installation_problems 2. Create environment using conda conda create -n tensorflow1_4 python=2.7/3.5 3. Activate the environment source avtivate tensorflow1_4 4. Install using the following command pip install --ignore-install tensorflow-gpu-1.4.1-cp35-cp35m-manylinux1_x86_64.whl Code to check tensorflow-gpu is installed or not import tensorflow as tf tf . test . is_gpu_available ( cuda_only = False , min_cuda_compute_capability = None ) It will return True if installed otherwise, false You might get this error:- ImportError: libcudnn.so.5/6/7: cannot open shared object file: No such file or directory To Install CUDnn packages locally visit the following site:- https...