From 1d91886bee04e641be12b2f87b81e0a9074b7c72 Mon Sep 17 00:00:00 2001
From: YangTao848 <31799659+YangTao848@users.noreply.github.com>
Date: Thu, 18 Oct 2018 21:56:47 +0800
Subject: [PATCH] Update Neural+machine+translation+with+attention+-+v3.ipynb

update:a = Bidirectional(LSTM(units=n_a, return_sequences=True))(X) in def model(Tx, Ty, n_a, n_s, human_vocab_size, machine_vocab_size),
so that attention_map can work correctly!
---
 .../Week3/Neural+machine+translation+with+attention+-+v3.ipynb  | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Sequence Models/Week3/Neural+machine+translation+with+attention+-+v3.ipynb b/Sequence Models/Week3/Neural+machine+translation+with+attention+-+v3.ipynb
index 1cffcf8..c7c165e 100644
--- a/Sequence Models/Week3/Neural+machine+translation+with+attention+-+v3.ipynb	
+++ b/Sequence Models/Week3/Neural+machine+translation+with+attention+-+v3.ipynb	
@@ -428,7 +428,7 @@
     "    ### START CODE HERE ###\n",
     "    \n",
     "    # Step 1: Define your pre-attention Bi-LSTM. Remember to use return_sequences=True. (≈ 1 line)\n",
-    "    a = Bidirectional(LSTM(n_a, return_sequences=True))(X)\n",
+    "    a = Bidirectional(LSTM(units=n_a, return_sequences=True))(X)\n",
     "    \n",
     "    # Step 2: Iterate for Ty steps\n",
     "    for t in range(Ty):\n",