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update RNN GAN example code
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07-순차적인_데이터를_처리하는_RNN/sequence_to_sequence.ipynb

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@@ -126,8 +126,7 @@
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}
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],
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"source": [
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"seq2seq = Seq2Seq(vocab_size, 16)\n",
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"print(seq2seq)"
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"seq2seq = Seq2Seq(vocab_size, 16)"
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]
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},
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{

07-순차적인_데이터를_처리하는_RNN/sequence_to_sequence.py

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@@ -70,7 +70,6 @@ def _init_state(self, batch_size=1):
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seq2seq = Seq2Seq(vocab_size, 16)
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print(seq2seq)
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criterion = nn.CrossEntropyLoss()

07-순차적인_데이터를_처리하는_RNN/text_classification.ipynb

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@@ -194,8 +194,7 @@
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],
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"source": [
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"model = BasicGRU(1, 256, vocab_size, 128, n_classes, 0.5).to(DEVICE)\n",
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"optimizer = torch.optim.Adam(model.parameters(), lr=lr)\n",
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"print(model)"
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"optimizer = torch.optim.Adam(model.parameters(), lr=lr)"
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]
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},
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{

07-순차적인_데이터를_처리하는_RNN/text_classification.py

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@@ -104,7 +104,6 @@ def evaluate(model, val_iter):
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model = BasicGRU(1, 256, vocab_size, 128, n_classes, 0.5).to(DEVICE)
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optimizer = torch.optim.Adam(model.parameters(), lr=lr)
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print(model)
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best_val_loss = None

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