i tried to use it on my dataset, it contain 8 classes and the error said
ValueError: Input 0 of layer \"ConvolutionLayer\" is incompatible with the layer: expected axis -1 of input shape to have value 1, but received input with shape (32, 200, 200, 3)
Arguments received by CapsuleNetwork.call():
• inputs=['tf.Tensor(shape=(32, 200, 200, 3), dtype=float32)', 'tf.Tensor(shape=(32, 8, 10), dtype=float32)']"
i guess it goes wrong in the architecture, but i dont really know in which one. could you help me?
i tried to use it on my dataset, it contain 8 classes and the error said
ValueError: Input 0 of layer \"ConvolutionLayer\" is incompatible with the layer: expected axis -1 of input shape to have value 1, but received input with shape (32, 200, 200, 3)
Arguments received by CapsuleNetwork.call(): • inputs=['tf.Tensor(shape=(32, 200, 200, 3), dtype=float32)', 'tf.Tensor(shape=(32, 8, 10), dtype=float32)']"
i guess it goes wrong in the architecture, but i dont really know in which one. could you help me?