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Link updated for "Textual entailment with tensorflow" #11

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2 changes: 1 addition & 1 deletion QA with Tensorflow.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@
"- [Numpy](http://www.numpy.org)\n",
"- [Matplotlib](http://matplotlib.org)\n",
"\n",
"Optionally, you can install TQDM to view training progess and get training speed metrics, but it's not required. The code and Jupyter Notebook for this article is [on GitHub](https://github.com/Steven-Hewitt/QA-with-Tensorflow), and I encourage you to grab it and follow along. If this is your first time working with TensorFlow, I recommend that you first check out Aaron Schumacher's [\"Hello, TensorFlow\"](https://www.oreilly.com/learning/hello-tensorflow) for a quick overview of what TensorFlow is and how it works. If this is your first time using TensorFlow for natural language tasks, I would also encourage you to check out [\"Textual Entailment with TensorFlow\"](#link not live yet), as it introduces several concepts that will be used to help construct this network.\n",
"Optionally, you can install TQDM to view training progess and get training speed metrics, but it's not required. The code and Jupyter Notebook for this article is [on GitHub](https://github.com/Steven-Hewitt/QA-with-Tensorflow), and I encourage you to grab it and follow along. If this is your first time working with TensorFlow, I recommend that you first check out Aaron Schumacher's [\"Hello, TensorFlow\"](https://www.oreilly.com/learning/hello-tensorflow) for a quick overview of what TensorFlow is and how it works. If this is your first time using TensorFlow for natural language tasks, I would also encourage you to check out [\"Textual Entailment with TensorFlow\"](https://www.oreilly.com/learning/textual-entailment-with-tensorflow), as it introduces several concepts that will be used to help construct this network.\n",
"\n",
"Let's start by importing all of the relevant libraries:"
]
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