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Pokemon classification using i) Simple CNN ii) Transfer Learning (ResNet34) using PyTorch

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MACHINE LEARNING WORKSHOP

ACM-W SRM conducted an online workshop titled "Introduction to Classification in Machine Learning" on 10th and 11th July. We covered the concept of Classification in Machine Learning with various Classification Algorithms while focusing on Convolutional Neural Networks. This repository consists of the required dataset, prerequistes and Hands-on-session notebooks along with the presentation files.

❓ What did we cover in Day 1?

  1. What is Classification in ML?
  2. Real - World Applications
  3. Understanding ML Terminologies
  4. Classification Algorithms
  5. Diving into CNNs

💻 What did we cover in Day 2 (Hands-on-session)?

Topic- Classifying images of 5 different pokemons

  1. Preprocessing
  2. Splitting the Dataset
  3. Modelling
  4. Optimizing the Model

🎥 Video to our Workshop:

https://www.youtube.com/watch?v=lFbiuS18LVA&t=790s

📌 Cloning the Repo

git clone https://github.com/SRM-ACM-Women/ML-Workshop.git

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Pokemon classification using i) Simple CNN ii) Transfer Learning (ResNet34) using PyTorch

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