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[model training walkthrough] update link to optimization algorithms (t…
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* [model training walkthrough] update link to optimization algorithms

* Update docs/site/tutorials/model_training_walkthrough.ipynb

Co-authored-by: Brad Larson <[email protected]>

Co-authored-by: Brad Larson <[email protected]>
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Gary Miguel and BradLarson authored Sep 9, 2020
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" </td></tr>\n",
"</table>\n",
"\n",
"Swift for TensorFlow has many [optimization algorithms](https://github.com/rxwei/DeepLearning/blob/master/Sources/DeepLearning/Optimizer.swift) available for training. This model uses the SGD optimizer that implements the *[stochastic gradient descent](https://developers.google.com/machine-learning/crash-course/glossary#gradient_descent)* (SGD) algorithm. The `learningRate` sets the step size to take for each iteration down the hill. This is a *hyperparameter* that you'll commonly adjust to achieve better results."
"Swift for TensorFlow has many [optimization algorithms](https://github.com/tensorflow/swift-apis/tree/master/Sources/TensorFlow/Optimizers) available for training. This model uses the SGD optimizer that implements the *[stochastic gradient descent](https://developers.google.com/machine-learning/crash-course/glossary#gradient_descent)* (SGD) algorithm. The `learningRate` sets the step size to take for each iteration down the hill. This is a *hyperparameter* that you'll commonly adjust to achieve better results."
]
},
{
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