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This tutorial demonstrates how to prepare a weather-image dataset and build, train, and test a convolutional neural network with TensorFlow and Keras. It covers image augmentation, validation, model saving, and predictions on new images.
Syllabus
Intro
Installation - Python libraries
Download the dataset and prepare the folders
create the CNN model using Python
Test the model - Predict a new image
Taught by
Eran Feit