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Fix broken Keras documentation links in intro_to_modules.ipynb #2444

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Fix broken Keras documentation links in intro_to_modules.ipynb #2444

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4 changes: 2 additions & 2 deletions site/en/guide/intro_to_modules.ipynb
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Expand Up @@ -716,7 +716,7 @@
"* Saving and restoring python objects instead of just black-box functions\n",
"* `get_config` and `from_config` methods that allow you to accurately store configurations to allow model cloning in Python\n",
"\n",
"These features allow for far more complex models through subclassing, such as a custom GAN or a Variational AutoEncoder (VAE) model. Read about them in the [full guide](./keras/custom_layers_and_models.ipynb) to custom layers and models.\n",
"These features allow for far more complex models through subclassing, such as a custom GAN or a Variational AutoEncoder (VAE) model. Read about them in the [full guide](https://keras.io/guides/making_new_layers_and_models_via_subclassing/) to custom layers and models.\n",
"\n",
"Keras models also come with extra functionality that makes them easy to train, evaluate, load, save, and even train on multiple machines."
]
Expand Down Expand Up @@ -978,7 +978,7 @@
"source": [
"Overriding `tf.keras.Model` is a very Pythonic approach to building TensorFlow models. If you are migrating models from other frameworks, this can be very straightforward.\n",
"\n",
"If you are constructing models that are simple assemblages of existing layers and inputs, you can save time and space by using the [functional API](./keras/functional.ipynb), which comes with additional features around model reconstruction and architecture.\n",
"If you are constructing models that are simple assemblages of existing layers and inputs, you can save time and space by using the [functional API](https://keras.io/guides/functional_api/), which comes with additional features around model reconstruction and architecture.\n",
"\n",
"Here is the same model with the functional API:"
]
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