A tutorial for beginners on to how to make a classifer that classifies between 104 types of flowers.

Dataset :

  • Can be downloaded from here

  • In this tutorial I will teach you how to build a deep learning neural network from scratch with fast.ai.

  • It’s like keras but for pytorch and a lot more simpler.

  • Click the below notebook for the Tutorial.

Tutorial Notebook

You can even run it on Kaggle without any hassels just in one click from my kernel. Please upvote if you like on kaggle.

  • From making a model to submission on kaggle.
  • Just click the kaggle link below. Upon reaching kaggle click on top right corner button of copy-edit.
  • Run every cell in kaggle and your model is ready.
  • If you want to experiment try changing some values see what effects it has on the model.