![]() Note: you can elect to give this a relatively small installation, and then actually store the large datasets elsewhere. However much you shrink by is how much space you will have on your new Ubuntu partition. Here, you can see how much size you have currently, how much is available to shrink, and then how much you'd like to shrink. Right click that drive, and select "shrink volume." Select the drive you want to partition off to be the Ubuntu partition, probably your drive C, but you might have others. If you have other partitions on a drive, you'd see them here. It will look something like: if you haven't messed with it before. Sounds good to you? Great, now, on Windows, type "create and format" into the search, and you should find the "create and format hard disk partitions" choice, which will bring up Disk Management. If a power flicker occurs, you're probably screwed. I strongly suggest you backup anything you care about, because, if this process hangs, its possible you lose everything via corrupting the drive. You do NOT want to forcefully stop this process. I have also heard of people's taking days and seemingly never finishing. When you partition a drive, you have to clean up that entire chunk, so there is potentially a lot of moving around that needs to be done.įor me, this process takes ~20 minutes on a solid state drive, but I have had it take hours on a regular harddrive. Partioning a harddrive can take quite some time, especially if you are using an older drive that has files all over the place. It's not like before, where we just click a button and the space is made for it, we actually need to section this space off ourselves. To begin, we're going to need a place to install this operating system to. ![]() I still like having Virtual Box around to quickly test a model and see if it actually works/compiles, but we're about to block off another portion of your harddrive, so you might want the space. If you have been using Virtual Box, you can either keep it, or remove it along with the virtual drive you created for it. Via a virtual machine, you cannot access the full power of your GPU, which is why we need to do this. ![]() If you are on Windows, then we're going to be setting up a dual boot option for both Windows and Ubuntu. If you are not on Windows, you can skip to where we've completed the installation of Ubuntu, but then you will want to pick back up with us as we install the GPU version of TensorFlow and all of the requirements. You can use two cards at once, but this is not ideal. 4 GB is what I had on my 980s, which gives you 8 GB total, but 4+4 in SLI is not the same as 8GB on one card, for example. I had been using a couple GTX 980s, which had been relatively decent, but I was not able to create models to the size that I wanted so I have bought a GTX Titan X instead, which is much more enjoyable to work with, so pay close attention to VRAM on the card. In order to use the GPU version of TensorFlow, you will need an NVIDIA GPU with a compute capability > 3.0. Thus, in this tutorial, we're going to be covering the GPU version of TensorFlow. ![]() While there exists demo data that, like the MNIST sample we used, you can successfully work with, it is not going to prepare you for many of the hardships that large datasets come with, and you wont be able to try out many of the more interesting examples of what neural networks are capable of. If you are going to realistically continue with deep learning, you're going to need to start using a GPU. Welcome to part nine of the Deep Learning with Neural Networks and TensorFlow tutorials. ![]()
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