Title: i have problem in accuracy when i merge 2 cnn to binary classification for 1D data
Tags: python;tensorflow;conv-neural-network
Question: i  have problem in accuracy when i merge 2 cnn to binary classification for 1D data
the code
```history = model_combined.fit(X_train, Y_train, epochs=5, batch_size=64,verbose = 1,validation_data=(X_test,Y_test))
```
```ValueError: Layer \&quot;model_9\&quot; expects 2 input(s), but it received 1 input tensors. Inputs received: [<tf.Tensor 'IteratorGetNext:0' shape=(None, 12) dtype=float32&gt;]\n&quot;```

Comment: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.

Comment: Please edit your question to improve readability.

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