Web Reference: Apr 12, 2022 · ValueError: Exception encountered when calling layer "sequential_3" (type Sequential). Input 0 of layer "conv1d_3" is incompatible with the layer: expected axis -1 of input shape to have value 1, but received input with shape (None, 1000, 1000) I have looked this up to try and solve it. This method is the reverse of get_config, capable of instantiating the same layer from the config dictionary. It does not handle layer connectivity (handled by Network), nor weights (handled by set_weights). This layer creates a convolution kernel that is convolved with the layer input over a single spatial (or temporal) dimension to produce a tensor of outputs. If use_bias is True, a bias vector is created and added to the outputs.
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