DL with PyTorch (Week 3)

Done with Assignment 3 🤩🎉😎🎊

Done with all the assignments, now, will be participating in my first Kaggle competition(although it's not open to everyone still there will be a lot of competition from the participants of this course) and will start working on the course project.

This assignment was a part of the 6 week-long free course named, Deep Learning with PyTorch: Zero to GANs provided by Jovian.ml in collaboration with FreeCodeCamp.

Learned about different hyperparameter tuning, activation functions and we trained a model using image classification to do classification of images of everyday objects using neural networks.

Dataset used: CIFAR-10
Accuracy achieved: 55% to 56%

My key observations🧐 during this assignment are mentioned in the compare tab here Have a look at it, especially the Version-9 which contains a random selection of activation functions selected JUST FOR FUN🤪.

To find out what I have been doing in this Lock-down period, click here