Issue coming while fitting the model

[AbiGopal1]

I am getting the following error when trying to fit the model for the first time as follows

ValueError: Exception encountered when calling layer "sequential_7" (type Sequential).

Input 0 of layer "dense_7" is incompatible with the layer: expected min_ndim=2, found ndim=1. Full shape received: (None,)

Call arguments received:
  • inputs=tf.Tensor(shape=(None,), dtype=float64)
  • training=True
  • mask=None

Please help in resolving this

[scjm]

Hi AbiGopal1 -
If you add this line (see below for where it goes)
tf.keras.layers.Input(shape=(1,)),
Then the output knows the shape of the output it must return, doesn't have to try and infer it
Hope this helps

model = tf.keras.Sequential([
tf.keras.layers.Input(shape=(1,)),
tf.keras.layers.Dense(1)
])

[mrdbourke]

Hi @AbiGopal1,

What code are you writing to get this kind of issue? What section is it in?

I think @scjm has a good answer above for something that'll solve your problem.

Also, this answer may help you too: #278