krishnaik06 / malaria-detection Goto Github PK
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License: GNU General Public License v3.0
how to detect malaria with this help
r = model..fit_generator(
training_set,
validation_data=test_set,
epochs=50,
steps_per_epoch=len(training_set),
validation_steps=len(test_set)
)
It should be model.fit
Kindly please make your readme file better ,its very hard to understand
How can we get the results of the CNN model when the training was halted in the middle? If overfitting is detected during training, then you can use Early stopping utility after certain epochs.
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