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Why binary_crossentropy and categorical_crossentropy give different performances for the same problem?
machine-learning
keras
neural-network
deep-learning
conv-neural-network
"ValueError: Input 0 of layer "sequential" is incompatible with the layer" In prediction
python
tensorflow
deep-learning
conv-neural-network
Is there a way to fix a batch size mismatch between output from final model layer and input?
javascript
node.js
conv-neural-network
tensorflow.js
batchsize
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