/Python/ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

Shapes (none, 1) and (none, 5) are incompatible

Change Categorical Cross Entropy to Binary Cross Entropy since your output label is binary. Also Change Softmax to Sigmoid since Sigmoid is the proper activation function for binary data

ValueError: Shapes (None, 1) and (None, 11) are incompatible keras

#Sam Ayo answers .. linkedin.com/in/sam-ayo
If you use one-hot-encoded for the label/classes like [0, 0, 0, 0, 0, 0, 1]
you need to use categorical_crossentropy
but if you use sparse label/classes like [1, 2, 3, 4, 5, 6, 7]
you need to use sparse_categorical_crossentropy.

Similar codes

0 vote325 views1 answer
Django get all model fields
Python Django
0 vote309 views1 answer
API curl python pandas
Python
1 vote302 views1 answer
Den pfad der python datei rausfinden
Python
1 vote292 views1 answer
Python import from other folder outside folder
Python
0 vote325 views1 answer
Created by and updated by in django
Python
0 vote283 views1 answer
Fastest way to check odd or even in python
Python
14 votes279 views6 answers
Python print variable and string
Python
0 vote290 views1 answer
Pivot table with lambda
Python
1 vote298 views1 answer
Python get object class
Python
1 vote304 views1 answer
Multirow np.rand.randint
Python