Низкая точность CNN - PullRequest
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Низкая точность CNN

0 голосов
/ 24 апреля 2020

Я тренирую модель впервые, но получаю низкую точность. Любая помощь? 

from keras.models import Sequential
from keras.layers import Conv2D
from keras.layers import MaxPooling2D
from keras.layers import Flatten
from keras.layers import Dense

#Initialising the CNN
classifier = Sequential()

#Step 1 - Convolution
classifier.add(Conv2D(32, (3, 3), input_shape = (64, 64, 3), activation = 'relu'))

#Step 2 - pooling
classifier.add(MaxPooling2D(pool_size= (2, 2)))

#ADD Another Layer
classifier.add(Conv2D(32, (3, 3), activation = 'relu'))
classifier.add(MaxPooling2D(pool_size= (2, 2)))

classifier.add(Conv2D(64, (3, 3), activation = 'relu'))
classifier.add(MaxPooling2D(pool_size= (2, 2)))


classifier.add(Conv2D(64, (3, 3), activation = 'relu'))
classifier.add(MaxPooling2D(pool_size= (2, 2)))

#Step 3- Flattening
classifier.add(Flatten())

#Step 4 - Full connection
classifier.add(Dense(activation="relu", units=128))
classifier.add(Dense(activation="softmax", units=24))

#Compiling the CNN
classifier.compile(optimizer = 'adam', loss = 'categorical_crossentropy', metrics =['accuracy'])

# Fitting the CNN to the images
from keras.preprocessing.image import ImageDataGenerator
train_datagen = ImageDataGenerator(
        rescale=1./255,
        shear_range=0.2,
        zoom_range=0.2,
        horizontal_flip=True)

test_datagen = ImageDataGenerator(rescale=1./255)

train_generator = train_datagen.flow_from_directory(
        'data/train',
        target_size=(64, 64),
        batch_size=32,
        class_mode='categorical')

validation_generator = test_datagen.flow_from_directory(
        'data/test',
        target_size=(64, 64),
        batch_size=32,
        class_mode='categorical') 

classifier.fit_generator(
        train_generator,
        steps_per_epoch=4800,
        epochs=5,
        validation_data=validation_generator,
        validation_steps=800)
...