Step 2: Go to the Downloads page and Select the 3.5.2 download.
Step 3: After that you will be brought to another page, where you will need to select either the x86-64 or amd64 installer.
The one I specifically recommend for now is the Windows x86-64 executable installer.
Step 4: For the purpose of this article I’ll be choosing to Add Python 3.5 to PATH.
Step 5: Now you should be able to see a message saying Setup was successful.
A way to confirm that it has installed successfully is to open your Command Prompt and check the version. 🙂
Here’s an example.
Sweet! Once you’re done with all that, you can now get onto installing TensorFlow with pip onto your Windows computer.
Word of Advice: pip, simply put, is a package management system that is used to install and manage software packages written in Python or in any other words.
pip lets you search, download, install, uninstall, and manage 3rd party python packages (pip3 is the latest version which comes with the new Python 3.5.x version that you just had downloaded)
For the purpose of this guide I’ll be choosing to install the CPU-only version of TensorFlow, but if you want to download the GPU version by choosing a different .whl file it’s up to you, but I’ll probably create another guide on that pretty soon for you. 🙂
Installing your TensorFlow
Now once you have downloaded the latest Python, you can now put up your finishing touches by installing your TensorFlow.
Step 1: To install TensorFlow, start a terminal. Make sure that you run the cmd as an administrator! 🙂
Here’s how you can run your cmd as an administrator.
Open up the Start menu, search for cmd and then right click on it and Run as an administrator.
Step 2: Once you’re done with that, now all you have to do is give just one simple little command for you to finish installing Tensorflow onto your Windows. 🙂
Just enter this command:
C:\> pip3 install --upgrade tensorflow
You’ll now notice to your top left hand corner with the command prompt saying ‘Administrator’ and that your installation completed successfully.
Tell me that wasn’t a piece of cake? 😉
Testing your TensorFlow
I recommend that you try and test whether your new TensorFlow works smoothly without any such problems.
Here’s an example that you can write to test (you can write absolutely anything).