FAQ: Implementing Neural Networks - Neural network model: layers

Frequently Asked Questions TensorFlow
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This community-built FAQ covers the “Neural network model: layers” exercise from the lesson “Implementing Neural Networks”.

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This exercise can be found in the following Codecademy content:

Build Deep Learning Models with TensorFlow

FAQs on the exercise Neural network model: layers

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2

How come that the weight matrix is already calculated without any inputs? Or did we entered inputs from any library? I’d expected the weight matrix elements to be zero.

1 Like
3

we’re using an input matrix of 1s, from the line: input = tf.ones((1338, 11))

This line creates a matrix of shape (1338, 11) with a 1 in every position, essentially a dummy input.

4

Hello, have a question. Why 3, if we are looking to predict charges and charges doesn’t have 3 categories of output? what 3 has to do with features or charges? Thank you in advance.

5

I could be wrong, but I think the 3 just represents the number of neurons in this situation. You could think of it as the number of braincells thinking on an input you give them.