Update header names to agree with final book edits

mattdangerw · mattdangerw · commit fbf7f1bf2041 · 2025-09-17T22:12:28.000-07:00
diff --git a/chapter02_mathematical-building-blocks.ipynb b/chapter02_mathematical-building-blocks.ipynb
@@ -639,7 +639,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### The gears of neural networks: tensor operations"
+    "### The gears of neural networks: Tensor operations"
    ]
   },
   {
@@ -1010,7 +1010,7 @@
     "colab_type": "text"
    },
    "source": [
-    "#### Derivative of a tensor operation: the gradient"
+    "#### Derivative of a tensor operation: The gradient"
    ]
   },
   {
diff --git a/chapter04_classification-and-regression.ipynb b/chapter04_classification-and-regression.ipynb
@@ -939,7 +939,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### Predicting house prices: a regression example"
+    "### Predicting house prices: A regression example"
    ]
   },
   {
diff --git a/chapter08_image-classification.ipynb b/chapter08_image-classification.ipynb
@@ -72,7 +72,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### Introduction to convnets"
+    "### Introduction to ConvNets"
    ]
   },
   {
@@ -213,7 +213,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### Training a convnet from scratch on a small dataset"
+    "### Training a ConvNet from scratch on a small dataset"
    ]
   },
   {
diff --git a/chapter09_convnet-architecture-patterns.ipynb b/chapter09_convnet-architecture-patterns.ipynb
@@ -63,7 +63,7 @@
     "colab_type": "text"
    },
    "source": [
-    "## Convnet architecture patterns"
+    "## ConvNet architecture patterns"
    ]
   },
   {
diff --git a/chapter10_interpreting-what-convnets-learn.ipynb b/chapter10_interpreting-what-convnets-learn.ipynb
@@ -63,7 +63,7 @@
     "colab_type": "text"
    },
    "source": [
-    "## Interpreting what convnets learn"
+    "## Interpreting what ConvNets learn"
    ]
   },
   {
@@ -246,7 +246,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### Visualizing convnet filters"
+    "### Visualizing ConvNet filters"
    ]
   },
   {
@@ -791,7 +791,7 @@
     "colab_type": "text"
    },
    "source": [
-    "### Visualizing the latent space of a convnet"
+    "### Visualizing the latent space of a ConvNet"
    ]
   }
  ],
diff --git a/chapter13_timeseries-forecasting.ipynb b/chapter13_timeseries-forecasting.ipynb
@@ -290,7 +290,7 @@
     "colab_type": "text"
    },
    "source": [
-    "#### A common-sense, non-machine-learning baseline"
+    "#### A commonsense, non-machine-learning baseline"
    ]
   },
   {
diff --git a/chapter15_language-models-and-the-transformer.ipynb b/chapter15_language-models-and-the-transformer.ipynb
@@ -349,7 +349,7 @@
     "colab_type": "text"
    },
    "source": [
-    "#### English-to-Spanish Translation"
+    "#### English-to-Spanish translation"
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -639,7 +639,7 @@`
`639`	`639`	`"colab_type": "text"`
`640`	`640`	`},`
`641`	`641`	`"source": [`
`642`		`- "### The gears of neural networks: tensor operations"`
	`642`	`+ "### The gears of neural networks: Tensor operations"`
`643`	`643`	`]`
`644`	`644`	`},`
`645`	`645`	`{`
`@@ -1010,7 +1010,7 @@`
`1010`	`1010`	`"colab_type": "text"`
`1011`	`1011`	`},`
`1012`	`1012`	`"source": [`
`1013`		`- "#### Derivative of a tensor operation: the gradient"`
	`1013`	`+ "#### Derivative of a tensor operation: The gradient"`
`1014`	`1014`	`]`
`1015`	`1015`	`},`
`1016`	`1016`	`{`
Original file line number	Diff line number	Diff line change
`@@ -939,7 +939,7 @@`
`939`	`939`	`"colab_type": "text"`
`940`	`940`	`},`
`941`	`941`	`"source": [`
`942`		`- "### Predicting house prices: a regression example"`
	`942`	`+ "### Predicting house prices: A regression example"`
`943`	`943`	`]`
`944`	`944`	`},`
`945`	`945`	`{`
Original file line number	Diff line number	Diff line change
`@@ -72,7 +72,7 @@`
`72`	`72`	`"colab_type": "text"`
`73`	`73`	`},`
`74`	`74`	`"source": [`
`75`		`- "### Introduction to convnets"`
	`75`	`+ "### Introduction to ConvNets"`
`76`	`76`	`]`
`77`	`77`	`},`
`78`	`78`	`{`
`@@ -213,7 +213,7 @@`
`213`	`213`	`"colab_type": "text"`
`214`	`214`	`},`
`215`	`215`	`"source": [`
`216`		`- "### Training a convnet from scratch on a small dataset"`
	`216`	`+ "### Training a ConvNet from scratch on a small dataset"`
`217`	`217`	`]`
`218`	`218`	`},`
`219`	`219`	`{`
Original file line number	Diff line number	Diff line change
`@@ -63,7 +63,7 @@`
`63`	`63`	`"colab_type": "text"`
`64`	`64`	`},`
`65`	`65`	`"source": [`
`66`		`- "## Convnet architecture patterns"`
	`66`	`+ "## ConvNet architecture patterns"`
`67`	`67`	`]`
`68`	`68`	`},`
`69`	`69`	`{`
Original file line number	Diff line number	Diff line change
`@@ -290,7 +290,7 @@`
`290`	`290`	`"colab_type": "text"`
`291`	`291`	`},`
`292`	`292`	`"source": [`
`293`		`- "#### A common-sense, non-machine-learning baseline"`
	`293`	`+ "#### A commonsense, non-machine-learning baseline"`
`294`	`294`	`]`
`295`	`295`	`},`
`296`	`296`	`{`
Original file line number	Diff line number	Diff line change
`@@ -349,7 +349,7 @@`
`349`	`349`	`"colab_type": "text"`
`350`	`350`	`},`
`351`	`351`	`"source": [`
`352`		`- "#### English-to-Spanish Translation"`
	`352`	`+ "#### English-to-Spanish translation"`
`353`	`353`	`]`
`354`	`354`	`},`
`355`	`355`	`{`