README

Some deep learning projects using pytorch, mainly focused on computer vision. Most of these are basic deep learning models, trained and tested on commonly available datasets like the MNIST handwritten digit dataset.

Local setup

• Ubuntu 18.04
• Editor
  • Visual studio code + Python extension
• Libraries / frameworks
  • Anaconda 4.9.1
  • Python 3.8.3
  • Pytorch 1.5.0
  • Cuda 11
  • OpenAI
• Hardware (for comparing training time)
  • Nvidia GTX 1660Ti mobile
  • Intel core i7 9750H
  • 16GB RAM

References

1. Deep learning for visual computing NPTEL course by Dr Debdoot Sheet, IIT Karagpur