Merge pull request #2057 from NikSchaefer:patch-1

copybara-github · copybara-github · commit 5126c4f3879d · 2022-04-12T08:44:21.000-07:00
PiperOrigin-RevId: 441198360
diff --git a/site/en/tutorials/customization/custom_layers.ipynb b/site/en/tutorials/customization/custom_layers.ipynb
@@ -103,7 +103,7 @@
         "\n",
         "Most of the time when writing code for machine learning models you want to operate at a higher level of abstraction than individual operations and manipulation of individual variables.\n",
         "\n",
-        "Many machine learning models are expressible as the composition and stacking of relatively simple layers, and TensorFlow provides both a set of many common layers as a well as easy ways for you to write your own application-specific layers either from scratch or as the composition of existing layers.\n",
+        "Many machine learning models are expressible as the composition and stacking of relatively simple layers, and TensorFlow provides both a set of many common layers as well as easy ways for you to write your own application-specific layers either from scratch or as the composition of existing layers.\n",
         "\n",
         "TensorFlow includes the full [Keras](https://keras.io) API in the tf.keras package, and the Keras layers are very useful when building your own models.\n"
       ]

Original file line number	Diff line number	Diff line change
`@@ -103,7 +103,7 @@`
`103`	`103`	`"\n",`
`104`	`104`	`"Most of the time when writing code for machine learning models you want to operate at a higher level of abstraction than individual operations and manipulation of individual variables.\n",`
`105`	`105`	`"\n",`
`106`		`- "Many machine learning models are expressible as the composition and stacking of relatively simple layers, and TensorFlow provides both a set of many common layers as a well as easy ways for you to write your own application-specific layers either from scratch or as the composition of existing layers.\n",`
	`106`	`+ "Many machine learning models are expressible as the composition and stacking of relatively simple layers, and TensorFlow provides both a set of many common layers as well as easy ways for you to write your own application-specific layers either from scratch or as the composition of existing layers.\n",`
`107`	`107`	`"\n",`
`108`	`108`	`"TensorFlow includes the full [Keras](https://keras.io) API in the tf.keras package, and the Keras layers are very useful when building your own models.\n"`
`109`	`109`	`]`