From 54b86019b7edc7b07bac4463db624adbb1e5518f Mon Sep 17 00:00:00 2001
From: M21han <65151983+M21han@users.noreply.github.com>
Date: Sun, 11 Oct 2020 20:38:43 +0530
Subject: [PATCH] Update Week 3 Programming Assignment.ipynb
Now the code is right
---
Week 3 Programming Assignment.ipynb | 15 ++++++++-------
1 file changed, 8 insertions(+), 7 deletions(-)
diff --git a/Week 3 Programming Assignment.ipynb b/Week 3 Programming Assignment.ipynb
index 61bda69..9247853 100644
--- a/Week 3 Programming Assignment.ipynb
+++ b/Week 3 Programming Assignment.ipynb
@@ -845,12 +845,15 @@
" # I couldn't get this one right. Let me know if you figured it out.\n",
" if initial_state is None:\n",
" model.layers[1].reset_states()\n",
+ " #Below code is right\n"
" else:\n",
- " initial_state = model.layers[1].states\n",
+ " model.layers[1].reset_states(states=initial_state)\n",
" \n",
- " prediction = model.predict(token_sequence)\n",
+ " token_sequence = np.array(token_sequence)\n"
+ " predicted = model.predict(token_sequence)\n"
+ " pred = np.expand_dims(predicted[0,-1,:],0)\n",
" \n",
- " return prediction[0]"
+ " return pred"
]
},
{
@@ -916,10 +919,8 @@
" distribution and return the sample as a single integer.\n",
" \"\"\"\n",
" # I couldn't get this one right. Let me know if you figured it out.\n",
- " sample = tf.random.categorical(logits,1)\n",
- " sampe = tf.squeeze(sample,axis = -1)\n",
- " \n",
- " return sample[0]"
+ " # Below code is right
+ " return int(tf.random.categorical(logits,1))"
]
},
{