Create train.py #295
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Create train.py #295
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This Python script train.py trains the CNN model on the plant disease dataset. It does the following: Preprocesses the data using the preprocess_data function from data_preprocessing.py. Creates the CNN model using the create_model function from model.py. Compiles and trains the model using the specified parameters. Uses ModelCheckpoint to save the best model based on validation accuracy. Uses EarlyStopping to stop training when the validation loss stops improving.
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This Python script train.py trains the CNN model on the plant disease dataset. It does the following:
Preprocesses the data using the preprocess_data function from data_preprocessing.py. Creates the CNN model using the create_model function from model.py. Compiles and trains the model using the specified parameters. Uses ModelCheckpoint to save the best model based on validation accuracy. Uses EarlyStopping to stop training when the validation loss stops improving.