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Update Exercise2-Answer.ipynb #195

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ce3892e
Update Exercise2-Answer.ipynb
sakshi79 Sep 19, 2021
cb80801
Create README.md
sakshi79 Sep 19, 2021
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2 changes: 1 addition & 1 deletion Exercises/Exercise 2 - Handwriting Recognition/Exercise2-Answer.ipynb
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Expand Up @@ -37,7 +37,7 @@
"\n",
"class myCallback(tf.keras.callbacks.Callback):\n",
" def on_epoch_end(self, epoch, logs={}):\n",
" if(logs.get('accuracy')>0.99):\n",
" if((logs.get('acc') is not None) and (logs.get('acc')>0.99)):\n",
" print(\"\\nReached 99% accuracy so cancelling training!\")\n",
" self.model.stop_training = True\n",
"\n",
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6 changes: 6 additions & 0 deletions README.md
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@@ -0,0 +1,6 @@
# dlaicourse
# 'acc' or 'accuracy'
Notebooks for learning deep learning
# I see a lot of confusion relation to using 'acc' or 'accuracy' here.
# Apparently tf 2.5.0 supports 'acc' while tf 2.6.0 supports 'accuracy'
# Since the jupyter notebooks used in the course run on 2.5.0, dated 19-09-2021, clearly 'acc' will help you run the right code there!