python

Question

from keras.layers import MaxPooling2D
from keras.layers import Dense
from Keras.layers import Flatten
from keras.optimizers import SGD
from keras.preprocessing.image import ImageDataGenerator

def define_model():
model=Sequential()
model.add(Conv2D(32,(3,3),activation='relu',kernel_intializer='he unifrom',padding='same',input_shape=(256,256,1)))
model.add(MaxPooling2D((2,2)))
model.add(Flatten())
model.add(Dense(128,activation='relu',kernel_intializer='he unifrom'))
model.add(Dense(1,activation='sigmoid'))
opt=SGD(lr=0.001,momentum=0.9)
model.compile(optimizer=opt,loss='binary_crossentrophy',metrices=['accuracy'])
return model

def summarize_diagnostics(history):
pyplot.subplot(211)
pyplot.title('cross Entropy Loss')
pyplot.plot(history.history['loss'],color='blue',label='train')
pyplot.plot(history.history['val-acc'],color='orange',label='test')

filename=sys.argv[0].split('/'[-1])
pyplot.savefig(filename+'-plot.png')
pyplot.close()

def run_test_harness():
model=define_model()
datagen=ImageDataGenerator(rescale=1.0/255.0)
train_it=datagen.flow_from_directory('dataset_dogs_vs_cats/train/',class_mode='binary',batch_size=64,target_size=(200,200))
test_it=datagen.flow_from_directory('dataset_dogs_vs_cats/test/',class_mode='binary',batch_size=64,target_size=(200,200))
history=model.flit_generator(train_it,steps_per_epoch=len(train_it),validation_data=test_it,validation_steps=len(test_it),epochs=20,verbose=0)
_, acc=model.evaluate_generator(test_it,steps=len(test_it), verbose=0)
print('> %.3f' % (acc * 100.0))
summarize_diagnostics(history)
run_test_harness()

bro....i run this program on anaconda spyder...the error is
line 7, in <module>
from Keras.layers import Flatten

ModuleNotFoundError: No module named 'Keras'

Answer 1

Python is case sensitive. Write "keras" in lowercase.

from keras.layers import Flatten

Answer 2

thanks sir diego

Answer 3

experts please tell ..what i wrong with that program

Answer 4

You need to install module named 'keras' through pip command.

Answer 5

i had already instalI keras..then i check the version

import theano
print('theano: %s' % theano.__version__)
# tensorflow
import tensorflow
print('tensorflow: %s' % tensorflow.__version__)
# keras
import keras
print('keras: %s' % keras.__version__)

the output is
theano: 1.0.4
tensorflow: 2.0.0
keras: 2.3.1

Answer 6

what i do next

Answer 7

but sir..the output is not come...what's the problem

Answer 8

Linge 3: change Keras to keras in:
"from keras.layers import Flatten"
And try again