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This tutorial demonstrates how to prepare a flower image dataset, build and train a convolutional neural network with TensorFlow and Keras, and use it to predict flower species. It includes data augmentation, accuracy and loss evaluation, and predictions on individual and multiple images.
Syllabus
Intro
Installation - Python libraries
Download the dataset and prepare the folders
create the CNN model using Python
Test the model - Predict one flower image
Test the model on list of flower images
Taught by
Eran Feit