diff --git a/12_custom_models_and_training_with_tensorflow.ipynb b/12_custom_models_and_training_with_tensorflow.ipynb index 6f6d6e8..723c20f 100644 --- a/12_custom_models_and_training_with_tensorflow.ipynb +++ b/12_custom_models_and_training_with_tensorflow.ipynb @@ -3640,7 +3640,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 12. Implement a custom layer that performs _Layer Normalization_\n", + "## 12. Implement a custom layer that performs _Layer Normalization_\n", "_We will use this type of layer in Chapter 15 when using Recurrent Neural Networks._" ] }, diff --git a/13_loading_and_preprocessing_data.ipynb b/13_loading_and_preprocessing_data.ipynb index 1299aec..8bb30cb 100644 --- a/13_loading_and_preprocessing_data.ipynb +++ b/13_loading_and_preprocessing_data.ipynb @@ -1603,7 +1603,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Using Feature Columns for Parsing" + "## Using Feature Columns for Parsing" ] }, { diff --git a/14_deep_computer_vision_with_cnns.ipynb b/14_deep_computer_vision_with_cnns.ipynb index ed7ea3b..8627e80 100644 --- a/14_deep_computer_vision_with_cnns.ipynb +++ b/14_deep_computer_vision_with_cnns.ipynb @@ -1173,7 +1173,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Mean Average Precision (mAP)" + "## Mean Average Precision (mAP)" ] }, { diff --git a/15_processing_sequences_using_rnns_and_cnns.ipynb b/15_processing_sequences_using_rnns_and_cnns.ipynb index 1d63131..99dba80 100644 --- a/15_processing_sequences_using_rnns_and_cnns.ipynb +++ b/15_processing_sequences_using_rnns_and_cnns.ipynb @@ -114,7 +114,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Generate the Dataset" + "## Generate the Dataset" ] }, { @@ -189,7 +189,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Computing Some Baselines" + "## Computing Some Baselines" ] }, { @@ -289,7 +289,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Using a Simple RNN" + "## Using a Simple RNN" ] }, {