Deep learning workstation9/10/2023 ![]() ![]() The pip command is for installing and managing Python packages. $ sudo apt-get -assume-yes upgrade Installing the Python-pip command Open the terminal and execute the following lines of code. The keyboard shortcut to open the terminal is “Ctrl+Alt+T”. You have to type the commands in Ubuntu terminal. The following line of commands will complete the process of Linux system up-gradation process. So, we will now proceed with the step by step installation process Updating the Linux system packages Installation of TensorFlow as the backend of Keras.CUDA and cuDNN NVIDIA graphics drivers installation.Installation of Graphviz to visualize Keras model.HDF5 data frame installation to store hierarchical data.Installing the Basic Linear Algebra Subprogram (BLAS) library required for mathematical operation.It is the very basic command going to be used to install other components ![]() The main steps to set up a deep learning workstation are as follow: Depending on the internet speed the complete process may take 2-3 hours (with an internet speed of 1gbps in my case it took 2 hours) to complete. You will require a stable internet connection to download various files. Now I assume that you have already completed with all the prerequisites to set up your deep learning experiments. The main steps to set up a deep learning workstation So, my suggestion will be if you are serious about deep learning and wish to continue with even moderate use, go for a good workstation set up. However, in long run, this using this service may cost you more than upgrading your local system. In case if you are not interested to invest for GPU an alternative is using cloud service for computing paying hourly rent. Whereas a modern NVIDIA GPU will take merely 5-10 minutes to complete the models. Such models may take hours to give results when run with CPU. Because running sequence processing using recurrent neural network and image processing through convolutional neural models in CPU is a difficult proposition. It is a necessary condition not must though. I will advise you to have an NVIDIA GPU in your computer for satisfactory performance. Why should you use Ubuntu for deep learning? Refer to this articleĪnother prerequisite for running deep learning models is a good quality GPU. Although it is possible to run deep learning Keras models on Windows, it is not recommended. T his is the most famous open-source Linux distribution and available for free download here. If not then please install the latest version of Ubuntu. I assume that you already have Ubuntu on your computer.
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