Salil Saxena salilsaxena

## autoencoder.ipynb

      
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                salilsaxena
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              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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## Full_Description.md

      
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              April 13, 2021 13:41
            
              
                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.