tf.expand_dims() no longer when using csv

[alpanaytekin]

Tensor Flow course part 1 (Udemy section 3 regression): you will no longer need to use tf.expand_dims() when fitting, starting from section "a larger example" (when we start to use a Kaggle Dataset instead of hand made numpy arrays). It would be nice to have notification page in the course. Because the results are different when using tf.expand.dims()

[mrdbourke]

Hey @alpanaytekin thank you for the update.

Do you have the specific section where this happens?

That would be really helpful.

Note that tf.expand_dims() is only needed when your data is a single dimension.

[alpanaytekin]

01_neural_network_regression_in_tensorflow.ipynb > "A Larger Example" > Cell 92
I didn't know that : "tf.expand_dims() is only needed when your data is a single dimension."
I guess this explains it all.
Thanks Dan 🙂

[alpanaytekin]

And... I think the notification can be just before video 61 on Udemy