![]() The first step is to download VirtualBox, a free open source platform for managing virtual machines. Access the Python development environment inside the deep learning virtual machine.Download and import your pre-configured Ubuntu deep learning virtual machine. ![]() This tutorial is broken down into three parts to make it easy to digest and understand: In the following sections I’ll show you how easy it is to import your Ubuntu deep learning virtual machine. ![]() Your purchase of Deep Learning for Computer Vision with Python includes a pre-configured Ubuntu virtual machine for deep learning. Your deep learning + Python virtual machine How to access the pre-installed deep learning libraries on the virtual machine.How to import the pre-configured Ubuntu virtual machine for deep learning.How to download and install VirtualBox for managing, creating, and importing virtual machines.In the remainder of this tutorial I’ll show you: After you purchase your copy you’ll be able to download the virtual machine and get started with deep learning immediately. This virtual machine is part of all three bundles of my book, Deep Learning for Computer Vision with Python. In order to help you jump start your deep learning + Python education, I have created an Ubuntu virtual machine with all necessary deep learning libraries you need to successful (including Keras, TensorFlow, scikit-learn, scikit-image, OpenCV, and others) pre-configured and pre-installed. Of course, configuring your own deep learning + Python + Linux development environment can be quite the tedious task, especially if you are new to Linux, a beginner at working the command line/terminal, or a novice when compiling and installing packages by hand. When it comes to working with deep learning + Python I highly recommend that you use a Linux environment.ĭeep learning tools can be more easily configured and installed on Linux, allowing you to develop and run neural networks quickly.
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