Getting Started with TensorFlow in Google Colaboratory (Coding TensorFlow)

Key Takeaways

[Music] hi and welcome to part two of this series on using Google collab to code train and test neural networks in the browser without needing to install any kind of a runtime in the previous video Jake introduced you to collab and how you can get started with it we'll take that to the next level in this video and I'm going to show you how to install tensorflow into collab and then play with the different versions of tensorflow such as those that use a GPU the first thing you can do is to create a new collab did you know that you can do this directly from Google Drive just click new and you will find collaboratory in the more menu once the collab is created you'll have a new code cell ready for you you can then type python code into this but I'll create a new code cell and in it I will use the PIP command to install tensorflow pip is a command line tool not a code command so you have to prefix it with an exclamation mark that way collab will understand it when I run the install command the environment will download and install tensorflow if it isn't already installed you can then check if it worked by printing out the installed version this is done with this code and when I execute this code you can see that we have version 1.12 installed now tensorflow also comes in different versions for example if you want to use a GPU for learning there's a GPU version let's look at how to install that that in a fresh notebook because the GPU version needs a GPU we first need to be sure that our runtime has a GPU so to do this I find it best to reset all runtimes and then set the runtime type to be a gpub based one it may take a few seconds to allocate the new virtual machine and then launch it now I can install the GPU flavor of tensor flow with Pip installed tensorflow-gpu you'll see that it isn't present on this machine machine so it will download and install it and now I can check the version of tensorflow as before and we'll see that we also have version one12 and that's it in the next video in this series I'll take that to the next level and show you how to train a neural network using carass to perform classification of breast cancer data and I'll see you there [Music] [Applause] [Music]