/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 vote351 views1 answer
Get next element while looping
Python
13 votes338 views2 answers
Slug
Python
5 votes323 views2 answers
Make image fit to size tkinter
Python
11 votes325 views4 answers
Append dataframe to another dataframe
Python
0 vote333 views1 answer
Returns a DataFrame representing the result of the given query
Python
0 vote327 views1 answer
Genrate unique key in python
Python
0 vote367 views1 answer
Make_interp_spline
Python
2 votes324 views1 answer
Dict typing python
Python
0 vote368 views1 answer
Sort for Linked Lists python
Python
18 votes331 views5 answers
Flask minimal app
Python