Deep Learning in Weather Images - Using TensorFlow and CNN

Build a convolutional neural network model for predicting weather scenes using TensorFlow and Keras in this deep learning tutorial. Learn to install necessary Python libraries, download and prepare the dataset, create a CNN model, and test it by predicting new images. Follow along with code and instructions available on GitHub, and gain insights into using graphics cards, desktop cameras, and developer kits for machine learning projects. Explore recommended resources for improving Python skills and deepening knowledge of neural networks.

Intro
Installation - Python libraries
Download the dataset and prepare the folders
create the CNN model using Python
Test the model - Predict a new image