tf.keras.Input(shape=(400,)), #specify input shape

Here S input = (2000, 400)

However, we initialise Keras inputs as,

tf.keras.Input(shape=(400,)), #specify input shape

Shouldn’t 400 be specified as column as opposed to row vector here?

Hello @Purnima_Sethi,

Tensorflow needs us to specify the shape of a sample, so it is just (400, ).


400 is the number of features.

When we define the layers in Keras, we don’t specify the number of examples, only the number of features. That’s why it’s (400,)

Thank you. I assumed it would be (: , 400) since the training examples are unspecified.