Machine Learning with Python Projects - Cat and Dog Image Classifier

Python
1

Tell us what’s happening:

Describe your issue in detail here.
i am getting the error in cell #7 it is not getting the number of classes greater than 1
#9 ia am getting "
ValueError: x and y must have same first dimension, but have shapes (15,) and (5,)"
this error
#10 IndexError: index 1 is out of bounds for axis 0 with size 1

Your code so far

from tensorflow.keras.optimizers import Adam

model = Sequential()

model.add(Conv2D(32, (3, 3), activation=‘relu’, input_shape=(IMG_HEIGHT, IMG_WIDTH,3)))
model.add(MaxPooling2D((2, 2)))

model.add(Conv2D(64, (3, 3), activation=‘relu’))
model.add(MaxPooling2D((2, 2)))

model.add(Conv2D(128, (3, 3), activation=‘relu’))
model.add(MaxPooling2D((2, 2)))

model.add(Flatten())

model.add(Dense(512, activation=‘relu’))

model.add(Dense(1, activation=‘softmax’))

model.compile(optimizer=Adam(lr=0.001),
loss=‘categorical_crossentropy’,
metrics=[‘accuracy’])

model.summary()

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Challenge Information:

Machine Learning with Python Projects - Cat and Dog Image Classifier

2

Hi and welcome to fCC,

At first glance looks like there’s an error when defining the attribute optimizer for the method compile:

https://www.tensorflow.org/api_docs/python/tf/keras/Model

Hope this helps.

Cheers,

3

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