In this guide, we show you how to install tensorflow and properly loading required modules on the supercomputer (i.e. cuDNN) in a python virtual environment, WITHOUT using conda/miniconda/mamba.

*Note: make sure the version of python is compatible with the version of TensorFlow on the list. For example, for tensorflow-2.10.0 we need python 3.7 to python3.10. Once the environment is created, ...

Learn how to install TensorFlow on different platforms and environments for your machine learning project. Find out how to use pip, Anaconda, or Docker.

Install virtualenv virtualenv is a great utility for maintaining different versions of Python to prevent conflicting versions running in to each other. It also will install setup tools and package ...

TensorFlow is a Python-friendly open source library for developing machine learning applications and neural networks. Here's what you need to know about TensorFlow.

Machine learning in Python is powerful through the facilities of TensorFlow and Scikit-learn. While TensorFlow has broader applications in advanced deep learning-based complex models with large ...

The Python program should output “Hello, TensorFlow!” if the installation was successful. For more such intel IoT resources and tools from Intel, please visit the Intel® Developer Zone ...