Build PyTorch Model from Scratch | CNN | End To End Project
🚀 Ants & Bees Image Classification | PyTorch CNN | Pandas & Streamlit | End-to-End Project 🐜🐝
In this video, we’re building an image classification model from scratch using PyTorch to distinguish between ants and bees! This complete project covers everything from data preprocessing to deployment. If you're looking to enhance your deep learning skills or deploy your first model, this video has you covered.
📋 What’s Inside:
✅ Dataset exploration & preprocessing with Pandas
✅ Building a custom Convolutional Neural Network (CNN) in PyTorch
✅ Training, validation, and evaluation of the model
✅ Saving and loading the model for deployment
✅ Creating an interactive Streamlit app for real-time predictions
✅ Deploying the app for everyone to use
🌟 Why Watch?
Learn PyTorch and CNN fundamentals step-by-step
Work on a real-world project with practical use cases
Get hands-on experience with Streamlit for model deployment
🛠️ Tech Stack:
Python
PyTorch for deep learning
Pandas for data handling
Streamlit for app development and deployment
💡 This project is beginner-friendly but also provides value for intermediate developers looking to sharpen their end-to-end project skills.
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GitHub: https://github.com/NITIN3523/Ants_vs_...
#PyTorch #CNN #ImageClassification #Streamlit #MachineLearning #AI #computervision #pandas #deployement