![]() ![]() This includes an updated (1) VirtualBox virtual machine, and (2) Amazon machine instance (AMI): In other words, I put the sweat and time into creating near-perfect, usable environments that you can fire up in less than 5 minutes. On January 7th, 2019, I released version 2.1 of my deep learning book to existing customers (free upgrade as always) and new customers.Īccompanying the code updates for compatibility are brand new pre-configured environments which remove the hassle of configuring your own system. Ubuntu 18.04: Install TensorFlow and Keras for Deep Learning To learn how to configure Ubuntu for deep learning with TensorFlow, Keras, and mxnet, just keep reading. If you’re an Apple user, you can follow my macOS Mojave deep learning installation instructions! ![]() This guide will help you set up your Ubuntu system with the deep learning tools necessary for (1) your own projects and (2) my book, Deep Learning for Computer Vision with Python.Īll that is required is Ubuntu 18.04, some time/patience, and optionally an NVIDIA GPU. I take pride in providing high-quality tutorials that can help you get your environment prepared to get to the fun stuff. Inside this tutorial you will learn how to configure your Ubuntu 18.04 machine for deep learning with TensorFlow and Keras.Ĭonfiguring a deep learning rig is half the battle when getting started with computer vision and deep learning. Click here to download the source code to this post
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