Do I need to install keras 2.0 seprately after installing tensorflow 1.3?

Question

I just upgraded my tf from 1.0 to tf 1.3 (pip install --upgrade tensorflow) . I know keras 2.0 became part of tensorflow since tf version 1.2. However, when I import keras and check its version it still shows 1.2. Am I supposed to upgrade keras also? if so, then what does "the Keras API will now become available directly as part of TensorFlow, starting with TensorFlow 1.2" mean?

If you want to use keras in that way, don't import keras but use directly the api integrated in tf : tensorflow.org/api_docs/python/tf/contrib/keras — Nassim Ben
I just installed Keras 2 and it works fine on a simple example. I still don't understand why I had to do that if Keras is now part of tensorflow (as tf v1.2) — Kai
when you used keras with tensorflow, did you import it that way : from "tf.contrib import keras" ? If you want to use it through tensorflow, you have to use the library integrated in tensorflow... Which is located in tf.contrib.keras... Then you can use tf.contrib.keras.conv1D for example... which is a 1D convolutional layer — Nassim Ben

Byest Byest · Accepted Answer · 2019-03-15T16:13:36

Nope, you don't need to install keras 2.0 separately. (See: https://www.tensorflow.org/guide/keras)

Do this:

import tensorflow as tf

model = tf.keras.Sequential()

Don't do this (Unless you really need framework independent code):

import keras

model = keras.Sequential()