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

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Santino answered on March 21, 2021 Popularity 10/10 Helpfulness 3/10

answer shapes (none, 1) and (none, 5) are incompatible

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

related ValueError: Shapes (None, 1) and (None, 2) are incompatible

related ValueError: Shapes (None, 1) and (None, 3) are incompatible

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

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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

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python shapes

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Contributed on Mar 21 2021

Santino

0 Answers Avg Quality 2/10

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

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#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.

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Tags: keras kera

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Contributed on Dec 22 2021

AlbusDD

0 Answers Avg Quality 2/10

ValueError: Shapes (None, 1) and (None, 2) are incompatible

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To fix this, you need to ensure that your expected output labels are one-hot 
encoded, which means that each label should be a vector of length 2 
with a 1 in the position corresponding to the class and 0 elsewhere.

You can use the to_categorical() function from the Keras utils module 
to perform one-hot encoding. Here's an example of how to modify your code:

convert your binary labels to one-hot encoded labels
y_train = to_categorical(y_train, num_classes=2)

Popularity 8/10 Helpfulness 4/10 Language python

Source: Grepper

Tags: python shapes sh

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Contributed on Feb 14 2023

Manel Mili

0 Answers Avg Quality 2/10

ValueError: Shapes (None, 1) and (None, 3) are incompatible

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-1

y_train = to_categorical(y_train, 3)
y_test = to_categorical(y_test, 3)

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Source: stackoverflow.com

Tags: python py

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Contributed on Apr 15 2021

Vast Vulture

0 Answers Avg Quality 2/10

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

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

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

ValueError: Shapes (None, 1) and (None, 2) are incompatible

ValueError: Shapes (None, 1) and (None, 3) are incompatible

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