Code typed from the [video](https://youtu.be/UeheTiBJ0Io?t=16m46s)

gistfile1.txt

video = tf.keras.layers.Input(shape=(None, 150, 150, 3))
cnn = tf.keras.applications.InceptionV3(
  weights='imagenet',
  include_top = False,
  pool='avg')
cnn.trainable = False
encoded_frames = tf.keras.layers.TimeDistributed(cnn)(video)
encoded_vid = tf.layers.LSTM(256)(encoded_frames)

question = tf.keras.layers.Input(shape=(100), dtype='int32')
x = tf.keras.layers.Embedding(10000, 256, mask_zero=True)(question)
encoded_q = tf.keras.layers.LSTM(128)(x)

x = tf.keras.layers.concat([encoded_vid, encoded_q])
x = tf.keras.layers.Dense(128, activation=tf.nn.relu)(x)
outputs = tf.keras.layers.Dense(1000)(x)

model = tf.keras.models.Model([video, question], outputs)
model.compile(
  optimizer=tf.AdamOptimizer(),
  loss=tf.softmax_crossentropy_with_logits)