I am working on this lesson and ‘from tensorflow import keras’ is not present in the import section, and also, that section is not editable, so I can’t add it.
There’s no reference in any of week 1’s materials as to how to build this solution without keras, so… I am not sure how to solve this.
Hello @raz_lagat ,
You can work without importing keras, by using : tf.keras
You cannot import anything else.
You need to code between this block only:
### START CODE HERE
....
### END CODE HERE
With regards,
Nilosree Sengupta
In the lesson, there is an instruction “# Define your model (should be a model with 1 dense layer and 1 unit)”
Since in the week’s content I did not see any reference to ‘dense’ which was not tied to keras, I took it to mean keras was needed. I believe nilosreesengupta has pointed me in the right direction, though.
Ah, I did not know you could do that. Thank you!
… I did not see any reference to tf.keras usage in week one’s content. It might be wise to either add it to the lesson content, or switch the lesson.
Hello @raz_lagat ,
You’re welcome!!
Btw, it’s there in the course.
In this video : Working through ‘Hello World’ in TensorFlow and Python
With regards,
Nilosree Sengupta
it is indeed in the lesson, however, the hello world lab notes ALSO import keras (just a couple of lines above the section in your screenshot). And the line of code from Hello World does not work in the House Pricing lesson-
model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
…you get the below error.
in house_model()
11
12 # Define your model (should be a model with 1 dense layer and 1 unit)
—> 13 model = tf.keras.Sequential([keras.layers.Dense(units=1, input_shape=[1])])
NameError: name ‘keras’ is not defined
Without adding “tf.” to the second instance of keras in that line of code, it will not work. This is what I meant about this not being covered in the coursework- there’s literally no mention of what to do when you haven’t imported keras.
model = tf.keras.Sequential([tf.keras.layers.Dense(units=1, input_shape=[1])])
.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,.,^^
