I made this following a tutorial however it doesn;t work for me. It has the following error when running. ValueError: Exception encountered when calling layer "sequential" (type Sequential).

Input 0 of layer "dense" is incompatible with the layer: expected min_ndim=2, found ndim=1. Full shape received: (None,)

Call arguments received by layer "sequential" (type Sequential):
  • inputs=tf.Tensor(shape=(None,), dtype=int64)
  • training=False
  • mask=None

The input shape is known and is not 0. It just cannot be called when prediciting. The model has a 0.9142% approxima accuracy.

I also don't like how it is so hard coded, but that is my opnion.