freeCodeCamp/curriculum/challenges/italian/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-building-the-model.md

id, title, challengeType, videoId, bilibiliIds, dashedName

id	title	challengeType	videoId	bilibiliIds	dashedName
5e8f2f13c4cdbe86b5c72da1	Elaborazione del linguaggio naturale con RNN: costruzione del modello	11	32WBFS7lfsw	aid bvid cid 848015573 BV1YL4y1a7WS 409138016	natural-language-processing-with-rnns-building-the-model

--question--

--text--

Riempi gli spazi vuoti per completare la funzione build_model qui sotto:

def build_mode(vocab_size, embedding_dim, rnn_units, batch_size):
    model = tf.keras.Sequential([
        tf.keras.layers.Embedding(vocab_size,
                                  embedding_dim,
                                  batch_input_shape=[batch_size, None]),
        tf.keras.layers.__A__(rnn_units,
                              return_sequences=__B__,
                              recurrent_initializer='glorot_uniform),
        tf.keras.layers.Dense(__C__)
    ])
    __D__

--answers--

A: ELU

B: True

C: vocab_size

D: return model

---

A: LSTM

B: False

C: batch_size

D: return model

---

A: LSTM

B: True

C: vocab_size

D: return model

--video-solution--

3