Self-written Medium blog: 400 Birds Species Classification
- This project aims to predict revenue for a set of customers for a time period in the future.
- Different machine learning & deep learning techniques were used.
- Deployment was done using Flask API on an AWS EC2 instance.
- Source โก๏ธ Kaggle
- VGG19 with fne tuning of last few layers by freezing first 17 layers resulted in lowest loss of 0.14 on completely unseen test images.
- A simple web-app has been built using this model (as shown in the Demo).
- This web-app has also been Deployed using Flask API.
- Using this web-app, you can upload an image of a bird and the web-app will return the species name in the UI.
๐๏ธ scikit-learn ๐๏ธ Keras ๐๏ธ Tensorflow ๐๏ธ matplotlib ๐๏ธ seaborn ๐๏ธ numpy ๐๏ธ pandas ๐๏ธ prettytable ๐๏ธ Flask
- Google Colab
- Jupyter Notebook
- Sublime Text