plant-leaf-disease-prediction's People
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joegakumo21 k-rajmani2k shipranjali biswajit-ml briankiptoo hocinesalem ddnamn lit226 suhask2000 saurabh-chhadi gkprasanth mansbxhhdbdh karthik6802 harishhere360 ashreshd mahipratap aarthy2409 haroonkashmiri609 adilbasha9396 rimurutempestcs05 josaphat12-tech petchi11 bahau88 durgaprasad2085 raiku3 atommoonhappy premalat naveenkartik56 banjar-code darkking-777 poturevanth malinskir ronaldsbeast arjun655 arpita07madan ahmedtarek-95 vishaltelakunchi ashishkumarnahak 87abdul taltaf913 charishma317 kritikaagarawal133plant-leaf-disease-prediction's Issues
have added the necessary plots to analyze the performance of the system
#change history = classifier.fit_generator(training_set, part too
import matplotlib.pyplot as plt
summarize history for accuracy
plt.plot(history.history['accuracy'])
plt.plot(history.history['val_accuracy'])
plt.title('model accuracy')
plt.ylabel('accuracy')
plt.xlabel('epoch')
plt.legend(['Train', 'Validation'], loc='upper left')
plt.show()
summarize history for loss
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('model loss')
plt.ylabel('loss')
plt.xlabel('epoch')
plt.legend(['Train', 'Validation'], loc='upper left')
plt.show()
Other image
Even though we are uploading some new image which is not relevant to leafs it is still predicting some disease. How to resolve it
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