I’m currently involving Coursera-Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning course. I got an error in the following code.
Here is my python code,
# y = 2x - 1
import tensorflow as tf
# helps us to represent our data as lists easily and quickly
import numpy as np
# framework for defining a neural network as a set of Sequential layers
from tensorflow import keras
# The LOSS function measures the guessed answers against the known correct
# answers and measures how well or how badly it did
# then uses the OPTIMIZER function to make another guess. Based on how the
# loss function went, it will try to minimize the loss.
model = tf.keras.Sequential([keras.layers.Dence(units=1, input_shape=
[1])])
model.compile(optimizer='sgd', loss='mean_squared_error')
# providing data
xs = np.array([-1.0,0.0,1.0,2.0,3.0,4.0],dtype=float)
ys = np.array([-3.0,-1.0,1.0,3.0,5.0,7.0],dtype=float)
# training neural network
model.fit(xs,ys,epochs=500)
# figure out value for unknown x
print(model.predict([10.0]))
I got this error message in terminal.
C:anacondaenvstfppythonw.exe C:/Users/USER/PycharmProjects/couseraTensorflow/helloWorld.py
Traceback (most recent call last):
File "C:/Users/USER/PycharmProjects/couseraTensorflow/helloWorld.py", line 11, in <module>
model = tf.keras.Sequential([keras.layers.Dence(units=1, input_shape=[1])])
AttributeError: module 'tensorflow._api.v1.keras.layers' has no attribute 'Dence'
Process finished with exit code 1
2
Answers
try this in TF 2.x
The layername is Dense, not Dence.