TypeError: 'module' object is not callable. keras

Question

System information
- Windows 10
- TensorFlow backend (yes / no): yes
- TensorFlow version: 1.14.0
- Keras version: 2.24
- Python version: 3.6
- CUDA/cuDNN version: 10
- GPU model and memory: gtx 1050 ti

Describe the current behavior
I installed tensoflow and keras via conda. Then i tried to run this code:

import tensorflow as tf
import keras
import numpy as np

model = keras.Sequential([keras.layers(units=1, input_shape=[1])])

model.compile(optimizer="sgd", loss="mean_squared_error")

x = np.array([-1, 0, 1, 2, 3, 4])
y = np.array([-3, -1, 1, 3, 5, 7])

model.fit(x, y, epochs=500)

print(model.predict([10]))`

When i run this code I get the error:

Using TensorFlow backend.
Traceback (most recent call last):
  File "C:/Users/xxx/PycharmProjects/Workspace/tensorflow/hello_world_of_nn.py", line 5, in <module>
    model = keras.Sequential([keras.layers(units=1, input_shape=[1])])
TypeError: 'module' object is not callable

When i try this:
python -c 'import keras as k; print(k.__version__)'

I get the error:

C:\Users\xxx>python -c 'import keras as k; print(k.__version__)'
  File "<string>", line 1
    'import
          ^
SyntaxError: EOL while scanning string literal

gorjan · Accepted Answer · 2019-08-19 19:03:54Z

3

This should be fine:

import tensorflow as tf
import keras
import numpy as np

model = keras.models.Sequential([keras.layers.Dense(units=1, input_shape=[1])])

model.compile(optimizer="sgd", loss="mean_squared_error")

x = np.array([-1, 0, 1, 2, 3, 4])
y = np.array([-3, -1, 1, 3, 5, 7])

model.fit(x, y, epochs=500)

print(model.predict([10]))

Please note the usage of keras.models.Sequential and keras.layers.Dense.

answered Aug 19, 2019 at 19:03

gorjan

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