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Source  : 6b091be
Branch  : main
Author  : Vlad Dracula <[email protected]>
Time    : 2023-11-28 06:07:55 +0000
Message : copy edit link to previous episode for gridsearch
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actions-user committed Nov 28, 2023
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2 changes: 1 addition & 1 deletion 05-evaluate-predict-cnn.md
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Expand Up @@ -344,7 +344,7 @@ For instance, suppose you're tuning two hyperparameters:

## Tune Optimizer using Grid Search

In [Episode 04](./04-fit-cnn.md) we talked briefly about the `Adam` optimizer used in our `model.compile` discussion. Recall the optimizer refers to the algorithm with which the model learns to optimize on the provided loss function.
In [Episode 04 Compile and Train a Convolutional Neural Network](episodes/04-fit-cnn.md) we talked briefly about the `Adam` optimizer used in our `model.compile` discussion. Recall the optimizer refers to the algorithm with which the model learns to optimize on the provided loss function.

Here we will use our introductory model to demonstrate how GridSearch is expressed in code to search for an optimizer.

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2 changes: 1 addition & 1 deletion md5sum.txt
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"episodes/05-evaluate-predict-cnn.md" "b2a1d8d4c1ee2400b665b80f47e3fcd0" "site/built/05-evaluate-predict-cnn.md" "2023-11-23"
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"episodes/06-conclusion.md" "c62de2055655448aba58501325967415" "site/built/06-conclusion.md" "2023-10-11"
"instructors/instructor-notes.md" "cae72b6712578d74a49fea7513099f8c" "site/built/instructor-notes.md" "2023-08-22"
"learners/reference.md" "1c7cc4e229304d9806a13f69ca1b8ba4" "site/built/reference.md" "2023-09-25"
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