A step-by-step guide to install TensorFlow for Mac.
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TensorFlow is an open source software library for numerical computation using data flow graphs. In other words, TensorFlow is a platform for machine learning. It was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
TensorFlow lets you build custom algorithms to optimize and improve your own machine learning models, and it comes with handy tools that let you visualize what’s happening under the hood of your models. If you’re new to TensorFlow, we recommend checking out our Getting Started with TensorFlow tutorial.
In this tutorial, we’ll show you how to set up a Python environment for TensorFlow on Mac OS X so that you can get started building and testing your own machine learning models.
What is TensorFlow?
TensorFlow is an open source platform for machine learning. It was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Officially, TensorFlow supports Mac OS X 10.12 (Sierra) or later, and you can use it with either CPU or GPU (Graphics Processing Unit) support. You can install TensorFlow either with or without GPU support on your Mac. If you have a NVIDIA graphics card, then you can install with GPU support to get significantly faster performance when training your models with TensorFlow.
Why use TensorFlow?
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
How to install TensorFlow for Mac?
Here are the installation instructions for TensorFlow on Mac. Please note that TensorFlow only supports 64-bit processors and macOS 10.12.6 (Sierra) or later.
1. Download and install Xcode from the Mac App Store.
2. Launch Xcode and agree to the terms of service.
3. Launch Terminal and type the following command to install Homebrew:
/usr/bin/ruby -e “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”
4. Press ENTER when prompted and follow the remaining on-screen instructions to complete the installation process.
5. Type the following command in Terminal to install pip:
sudo easy_install pip
6. Type your password when prompted and press ENTER to continue.
7. Type the following command in Terminal to install TensorFlow:
sudo pip install – upgrade tensorflow==1.12
TensorFlow for Mac installation process
TensorFlow is an open source deep learning platform that provides a wide range of tools, libraries and resources that can be used by developers to create intelligent applications. While TensorFlow can be used on a wide variety of platforms, including Raspberry Pi, it is most commonly used on desktop computers running the macOS operating system.
Installing TensorFlow on a Mac is a relatively simple process that can be completed in just a few minutes. This guide will walk you through the steps necessary to install TensorFlow for Mac.
Before beginning the installation process, make sure that your computer meets the minimum system requirements for TensorFlow. TensorFlow requires a 64-bit processor and the macOS Sierra 10.12 operating system or later. You will also need to have at least 4GB of RAM and 50GB of free disk space available.
Once you have confirmed that your system meets the minimum requirements, you can proceed with the installation process. The first step is to download the TensorFlow installer from the official website. Be sure to download the version of TensorFlow that is compatible with your version of macOS.
Once the installer has been downloaded, double-click on it to begin the installation process. Follow the instructions on screen and keep all default settings intact during installation. When prompted, enter your password to complete the process.
After installation has been completed successfully, reboot your computer and then launch a new terminal window. Type ‘tensorflow’ at the command prompt and hit Enter. If everything has been installed correctly, you should see the TensorFlow logo appear on screen along with some basic information about your environment.
TensorFlow for Mac requirements
To run TensorFlow on a Mac, you need a 64-bit Intel processor (Core i5, Core i7, or better) running macOS High Sierra 10.13.4 or newer. You also need to install Xcode 9.4 or newer.
TensorFlow for Mac benefits
TensorFlow for Mac provides benefits such as:
-Easier installation of TensorFlow and other associated libraries.
-Access to the latest and greatest version of TensorFlow.
– avocado: Easily install multiple versions of TensorFlow.
TensorFlow for Mac drawbacks
TensorFlow for Mac is not yet available as a pip installation. However, you can still install it on your Mac by following the methods below.
There are a few drawbacks to using TensorFlow for Mac. First, you will not be able to take advantage of GPU support. Second, you will need to use a Python virtual environment to isolate your TensorFlow installation from other Python installations on your system. Finally, you may need to install additional dependencies depending on which features of TensorFlow you plan to use.
Despite these drawbacks, TensorFlow for Mac can still be installed and used for development and testing purposes. Follow the steps below to install TensorFlow for Mac.
TensorFlow for Mac alternatives
There are a few ways to install TensorFlow on a Mac. The easiest way is to use an Anaconda or Miniconda distribution. If you prefer not to use a package manager, you can install TensorFlow from source.
Anaconda or Miniconda
The recommended way to install TensorFlow on a Mac is to use the Anaconda or Miniconda distribution. Anaconda is a free and open source package manager for Python and R. Miniconda is a minimal version of Anaconda that includes only conda and its dependencies.
To install TensorFlow using Anaconda or Miniconda, you need to create a new conda environment. We recommend using Python 3.5 or newer for best compatibility with TensorFlow.
Create a new conda environment named tf_env:
$ conda create -n tf_env python=3.5
Activate the new environment:
$ source activate tf_env (macOS/Linux) OR activate tf_env (Windows)
Verify that the new environment was created and activated:
$ conda info – envs OR $ conda env list # should show newly created environment “tf_env” as active
Install TensorFlow: # pip installs packages located in $TF_ENV/lib/python3.5/site-packages (macOS/Linux) OR pip installs packages located in %TF_ENV%Libsite-packages (Windows) $ pip install – ignore-installed – upgrade tensorflow==1.8.0 # CPU-only # For macOS X 10.12 and later with Intel CPUs only $ pip install – ignore-installed – upgrade tensorflow-macosx-cpu==1.8.0 # GPU support requires CUDA toolkit 9 and CuDNN v7 # Install them from here: https://developer.nvidia
We hope you enjoyed this guide on how to install TensorFlow for Mac. As always, if you have any questions or comments, please feel free to reach out to us.
Keyword: How to Install TensorFlow for Mac