/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 vote213 views1 answer
Keras relu layer
Python
56 votes192 views6 answers
Scikit learn train test split
Python
0 vote161 views1 answer
Assigning a value to a character in string or text file in python
Python
0 vote197 views1 answer
Rename column in pandas with second row
Python
0 vote197 views1 answer
D-tale colab
Python
97 votes192 views6 answers
Get json from file python
Python
0 vote191 views1 answer
Python own function and map function
Python
39 votes200 views6 answers
Convert dict to dataframe
Python
-1 vote189 views1 answer
How to transcode a video in python using ffmpeg
Python
4 votes199 views2 answers
Not in python
Python