keras - cannot import name Conv2D

Question

I recently got the deep learning docker from https://github.com/floydhub/dl-docker running and while trying out the tutorials, received an error when importing the keras layers module.

from __future__ import print_function
import keras
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv2D, MaxPooling2D

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-13-3a12c6f32fcf> in <module>()
      5 from keras.models import Sequential
      6 from keras.layers import Dense, Dropout, Activation, Flatten
----> 7 from keras.layers import Conv2D, MaxPooling2D

ImportError: cannot import name Conv2D

I am running with ubuntu 14.04, python version 2.7.6 on the ipython notebook and the following versions of the deep learning libraries on docker.

ARG THEANO_VERSION=rel-0.8.2
ARG TENSORFLOW_VERSION=0.12.1 
ARG TENSORFLOW_ARCH=cpu
ARG KERAS_VERSION=1.2.0
ARG LASAGNE_VERSION=v0.1
ARG TORCH_VERSION=latest
ARG CAFFE_VERSION=master

Im not sure if the problem lies with the version because it seems that there no related issues on the github thread.

Answer 1

Try this: from keras.layers.convolutional import Conv2D

Importing changed with the new keras. Are you sure you are not using keras >= 2?

---

NOTE:

With tensorflow 2.0 keras is included. You can now import the layer with:

from tensorflow.keras.layers import Conv2D

Answer 2

For Keras 1.2.0 (the current one on floydhub as of print(keras.__version__)) use these imports for Conv2D (which you use) and Conv2DTranspose (used in the Keras examples):

from keras.layers import Convolution2D as Conv2D
from keras.layers.convolutional import Deconv2D as Conv2DTranspose