installing keras and its dependencies on ubuntu the process of setting up deep-learning workstation is fairly involved and consists of the following stepswhich this appendix will cover in detail install the python scientific suite--numpy and scipy--and make sure you have basic linear algebra subprogram (blaslibrary installed so your models run fast on cpu install two extras packages that come in handy when using kerashdf (for saving large neural-network filesand graphviz (for visualizing neuralnetwork architecturesmake sure your gpu can run deep-learning codeby installing cuda drivers and cudnn install backend for kerastensorflowcntkor theano install keras it may seem like daunting process in factthe only difficult part is setting up gpu support--otherwisethe entire process can be done with few commands and takes only couple of minutes we'll assume you have fresh installation of ubuntuwith an nvidia gpu available before you startmake sure you have pip installed and that your package manager is up to datesudo apt-get update sudo apt-get upgrade sudo apt-get install python-pip python-dev licensed to