Love Keras. If you like, you can also use the Keras API inside TensorFlow (as tf.keras). We recently published this guide w/ more info - https://www.tensorflow

Love Keras. If you like, you can also use the Keras API inside TensorFlow (as tf.keras). We recently published this guide w/ more info - https://www.tensorflow.org/versions/r1.9/programmers_guide/keras https://www.tensorflow.org/versions/r1.9/programmers_guide/k... - and are working on a few more examples for the v1.9 release in a couple weeks. Optionally, you can also use tf.keras in combination w/ eager execution, enabling you to write code like this: https://colab.research.google.com/github/tensorflow/tensorflow/blob/master/tensorflow/contrib/eager/python/examples/nmt_with_attention/nmt_with_attention.ipynb https://colab.research.google.com/github/tensorflow/tensorfl...