How to install cuda 9.0, cudnn, tensorflow, pytorch on Fedora 28

This procedure has been tested on Fedora 28, on a HP laptop with this graphical card: NVIDIA Corporation GP107M GeForce GTX 1050 Mobile (rev a1). The commands have to be run as the root user. This tutorial assumes the nvidia driver is already working. Install pip dnf install python3-pip Install Cuda We install cuda 9.0 as it is the latest version supported by tensorflow at the time of writing. wget https://developer.
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On trading security for convenience

If we have to choose between a convenient system and a secure one, we often pick the former rather than the latter. The reason is mainly psychological. Several scientific studies have shown that we prefer instant gratification over delayed gratification, because that’s how our brains are wired. We are surrounded by instant gratification, our day-to-day actions like our hobbies, usage of social media, got us hooked on having a quick feedback.
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As developpers we are doing the easy work

We should not think that programming is complicated. It is often the easiest part of an IT project, because one simply needs to communicate with a computer. The communication between human beings is far more complicated. Computers are the most predictable things in the universe. Humans are unpredictable by nature . They can lie, change mood or theirs opinions multiple times, decline an offer because they had a bad day or due to the weather, or the horoscope, you name it.
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