Skip to content

Latest commit

 

History

History
8 lines (6 loc) · 551 Bytes

README.md

File metadata and controls

8 lines (6 loc) · 551 Bytes

Train LeNet5 on MNIST with SGD and Adam Optimizer and analyze:

MIT License PyTorch

  • Effect of training loss vs. Batch size for a fixed learning rate
  • Effect of training loss vs. Learning rate for a fixed Batch size

This is an assignment submission for the course of Deep Learning Foundations and Applications(AI61002) at IIT Kharagpur.