From 2ac94c4c4da54c1f7c80fea7f18832fd54c6be28 Mon Sep 17 00:00:00 2001 From: linsong8208 Date: Sun, 4 Aug 2024 04:11:00 +0800 Subject: [PATCH] correct a spelling mistake (#1896) * Update visualize_tuning.py * Update visualize_tuning.ipynb * Update visualize_tuning.md --- guides/ipynb/keras_tuner/visualize_tuning.ipynb | 4 ++-- guides/keras_tuner/visualize_tuning.py | 2 +- guides/md/keras_tuner/visualize_tuning.md | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/guides/ipynb/keras_tuner/visualize_tuning.ipynb b/guides/ipynb/keras_tuner/visualize_tuning.ipynb index 5b08404fa2..91902da890 100644 --- a/guides/ipynb/keras_tuner/visualize_tuning.ipynb +++ b/guides/ipynb/keras_tuner/visualize_tuning.ipynb @@ -38,7 +38,7 @@ "reading the logs is not intuitive enough to sense the influences of\n", "hyperparameters have on the results, Therefore, we provide a method to\n", "visualize the hyperparameter values and the corresponding evaluation results\n", - "with interactive figures using TensorBaord.\n", + "with interactive figures using TensorBoard.\n", "\n", "[TensorBoard](https://www.tensorflow.org/tensorboard) is a useful tool for\n", "visualizing the machine learning experiments. It can monitor the losses and\n", @@ -324,4 +324,4 @@ }, "nbformat": 4, "nbformat_minor": 0 -} \ No newline at end of file +} diff --git a/guides/keras_tuner/visualize_tuning.py b/guides/keras_tuner/visualize_tuning.py index 6b3c89f676..682558cbf9 100644 --- a/guides/keras_tuner/visualize_tuning.py +++ b/guides/keras_tuner/visualize_tuning.py @@ -19,7 +19,7 @@ reading the logs is not intuitive enough to sense the influences of hyperparameters have on the results, Therefore, we provide a method to visualize the hyperparameter values and the corresponding evaluation results -with interactive figures using TensorBaord. +with interactive figures using TensorBoard. [TensorBoard](https://www.tensorflow.org/tensorboard) is a useful tool for visualizing the machine learning experiments. It can monitor the losses and diff --git a/guides/md/keras_tuner/visualize_tuning.md b/guides/md/keras_tuner/visualize_tuning.md index ec7c013151..b04870d3da 100644 --- a/guides/md/keras_tuner/visualize_tuning.md +++ b/guides/md/keras_tuner/visualize_tuning.md @@ -23,7 +23,7 @@ hyperparameters in each trial for the user to monitor the progress. However, reading the logs is not intuitive enough to sense the influences of hyperparameters have on the results, Therefore, we provide a method to visualize the hyperparameter values and the corresponding evaluation results -with interactive figures using TensorBaord. +with interactive figures using TensorBoard. [TensorBoard](https://www.tensorflow.org/tensorboard) is a useful tool for visualizing the machine learning experiments. It can monitor the losses and