![]() It is often used for Python data science and machine learning projects because it enables you to install and manage many different libraries and tools within a single environment, without the need for creating separate virtual environments for each project.Ĭonda also has some advantages over using the pip package manager alone: Conda can be used to install TensorFlow on multiple architectures including Windows, Linux, and macOS.Ĭonda is an open-source, cross-platform tool for managing packages and working environments for multiple languages. It is the foundation of the Anaconda Distribution, which is widely used in scientific computing. ![]() It can be used to develop and train machine learning models, and also to generate outputs from trained models.Ĭonda is a cross-platform, language-agnostic binary package manager. It is a symbolic math library used for dataflow programming across a range of tasks. TensorFlow is an open source software library for machine learning, developed by Google Brain team. Please see the TensorFlow documentation for more instructions on how to install from source. If you want to install TensorFlow from source, you will need to have a C++ compiler and the Bazel build system installed on your system. We recommend installing TensorFlow using Conda because it is much easier to get started. TensorFlow can be installed either using the Conda package manager or by compiling from source. ![]() It is a popular platform used by researchers and developers to train and deploy machine learning models. TensorFlow is an open source library for machine learning. This guide explains how to install TensorFlow on Ubuntu.
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