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cell = tf.contrib.rnn.MultiRNNCell([lstm]) 这里是只有一层rnn吗?
logits = tf.contrib.layers.fully_connected(outputs, vocab_size, activation_fn=None) 这里logits的shape是 batch_size,seq_len,vocab_size可是target是batch_size,seq_len,embed_dim 请问这两个怎么求损失?
The text was updated successfully, but these errors were encountered:
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cell = tf.contrib.rnn.MultiRNNCell([lstm]) 这里是只有一层rnn吗?
logits = tf.contrib.layers.fully_connected(outputs, vocab_size, activation_fn=None)
这里logits的shape是 batch_size,seq_len,vocab_size可是target是batch_size,seq_len,embed_dim 请问这两个怎么求损失?
The text was updated successfully, but these errors were encountered: