The runtime library and development library of the cuDNN (v7.0.5 For CUDA 9.0 recommended.Ĥ. To check your card’s compatibility, visit. A CUDA enabled NVIDIA Graphic card along with computing capability of either 3.0 or higher than that. NVIDIA drivers and library (version 390 recommended)Ģ.
#Install python 3.5 ubuntu 16.04 how to#
In this guide, we will go step by step about how to Install Tensorflow-GPU 1.8 for Python 2.7 and Python 3.5 on Ubuntu 16.04.īefore we start the tutorial, it is important to know about the requirements,ġ. Tensorflow 1.8 with cuDNN 7.1.4 and CUDA 9.2 performs up to 37% quicker than Tensorflow’s earlier versions. So, it’s better for you to install it on the Ubuntu. Technically, you can install tensorflow GPU version in a virtual machine, but if you are willing to access the full power of your GPU through a virtual machine, then it would not be a piece of cake. When using Tensorflow’s GPU version, you need GPU of NVIDIA GPU along with computing capability of more than 3.0. It comprises of both GPU and CPU version in which CPU version is actually useful, but if you are looking for deep learning, then GPU is the right choice. This machine learning platform is quite basic for developers, students and researchers for learning deep applications like neural networks. Tensorflow is one of the leading open source software that is used by Google to help Artificial Intelligence community and understand the models in an assortment of programming dialect.