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salilsaxena / autoencoder.ipynb
Last active March 27, 2021 11:37
A Jupyter Notebook trained on Google Colab to demonstrate Auto-Encoder for the submission of CSD422
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salilsaxena / Full_Description.md
Last active July 4, 2024 16:53
CUDA + CuDNN install in Fedora/Ubuntu for Tensorflow-gpu guide.

We will not be using anacond, just classic old pip3
Works on python <= 3.8
Recomended OS: Fedora29(Have reached End of Life), Ubuntu 18.04(End of life: 2023). You can also use Later versions of same OS.
Step 1:
 Install Nvidia Propiatary Drivers:
  For ubuntu: link[https://medium.com/@redowan/no-bullshit-guide-on-installing-tensorflow-gpu-ubuntu-18-04-18-10-238924cc4a6a]. //Just follow the part where he shows how to install drivers.
  For Fedora using optimus: link[https://www.reddit.com/r/Fedora/comments/ga1ek6/optimus_setting_the_nvidia_gpu_as_primary/]. I personally stopped before Step 8(in tutorial).
 I know they are Lenghty process(may require several Reboots, but stay with me.
Step 2:
 Install Cuda10.1 for tf2.2 and tf1.15{only for python<3.8}, using this link1[https://developer.nvidia.com/cuda-10.1-download-archive-base?target_os=Linux]. A local .deb/.rpm method is recomended.