Setting up your PC/Workstation for Deep Learning: Tensorflow and PyTorch — Windows

Description

Summary

• By far the easiest way to configure your new (or not so new) rig to crunch some neurons.
• If you own a consumer GPU, for example, something from the GeForce lineup or Titan lineup, for instance, you can see a glimpse of what is supported and what is not in the image below, As of Sept. 2020 (This is just the upper half of the list) If you own a laptop you should check the Notebook products list and if you own a full-blown desktop GPU you must obviously look for the other lineup on the left-hand side.
• It is very important to enter into the tensorflow environment we created earlier and then follow along, > conda activate tensorflow If you are planning to install with GPU support, run the command below > conda install -c anaconda tensorflow-gpu This installs TensorFlow GPU through the anaconda channel.
• You might face some errors if you do not launch the jupyter notebook from the correct environment.