Image Classification
This project shows how to classify images of flowers. It creates an image classifier using a keras.Sequential model, and loads data using preprocessing.image_dataset_from_directory. You will gain practical experience with the following concepts:
Efficiently loading a dataset off disk.
Identifying overfitting and applying techniques to mitigate it, including data augmentation and Dropout.
This project follows a basic machine learning workflow:
Examine and understand data
Build an input pipeline
Build the model
Train the model
Test the model
Project By: Nation Innovation
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