Issue
I tried using this code from the Tensorflow basic regression tutorial:
def build_model():
model = keras.Sequential([
keras.layers.Dense(64, activation=tf.nn.relu,
input_shape=(train_data.shape[1],)),
keras.layers.Dense(64, activation=tf.nn.relu),
keras.layers.Dense(1)
])
optimizer = tf.train.RMSPropOptimizer(0.001)
model.compile(loss='mse',
optimizer=optimizer,
metrics=['mae'])
return model
model = build_model()
model.summary()
But I get an error that says:
>>> optimizer = tf.train.RMSPropOptimizer(0.001)
File "<stdin>", line 1
optimizer = tf.train.RMSPropOptimizer(0.001)
^
IndentationError: unexpected indent
If I unindent the optimizer = ...
line, the next line gives the same error. If I then unindent the model.compile ...
line, I get this:
>>> model.compile(loss='mse',
... optimizer=optimizer,
... metrics=['mae'])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'NoneType' object has no attribute 'compile'
...followed by a bunch of other errors, probably resulting from that one.
The other tutorials have worked fine. What is wrong, and how do I fix it?
Solution
By this line of the error message
File "<stdin>", line 1
is evident that you wrote you code directly to the Python interpreter, and by this interpreter's prompt
>>>
is obvious that you wrote the
optimizer = tf.train.RMSPropOptimizer(0.001)
as a new command on the highest (module) level, and NOT as a part of your function definition.
How to fix it:
You have to write the def build_model():
command after the >>>
prompt, and the all other command of this function definition after the ...
prompt, with the correct indentations, up to the return model
command.
(After the return model
command, press Enter twice for returning to the >>>
prompt; then continue writing other commands.)
Answered By - MarianD
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