As part of the Deep Learning bootcamp by AI Planet formerly DPhi and IIT Bombay Data Analytics around July, I had to work on a project where I used VGG19 layer to train a neural network model that classified an image of a weather as sunny, rainy, foggy, cloudy or sunrise.
Description: Developed a weather image classification model using VGG19 architecture and Keras, enabling accurate categorization of weather-related images.
Achievements:
- Utilized VGG19 convolutional neural network (CNN) architecture for effective feature extraction.
- Implemented the model using Keras for flexibility and ease of use.
- Achieved high accuracy in classifying weather images, contributing to improved image analysis capabilities.
Feel free to explore the notebook and enjoy learning 🌅 🌧️ 🌁 ☁️ ☀️