Inputs to a layer should be tensors. Got: <keras.layers.convolutional.conv1d.Conv1D object at 0x0000025F1DA0D340>

This error occurs when you try to pass a Keras layer object (in this case, a Conv1D layer) as an input to a function or another layer that expects a tensor as input.

To resolve this error, you need to pass a tensor as input to the function or layer instead of the Keras layer object. You can either define an input layer using the Input() function in Keras or use a previously defined layer that outputs a tensor as input to the current layer.

For example, if you have a Conv1D layer and want to pass its output as input to a Dense layer, you can do the following:

input_layer = Input(shape=(input_shape))
conv_layer = Conv1D(filters=32, kernel_size=3)(input_layer)
dense_layer = Dense(units=64)(conv_layer)

Here, we first define an input layer using the Input() function, then pass it to the Conv1D layer. We then pass the output tensor of the Conv1D layer as input to the Dense layer.