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| -rw-r--r-- | tensorflow/docs_src/guide/datasets_for_estimators.md | 2 | ||||
| -rw-r--r-- | tensorflow/docs_src/guide/eager.md | 2 | ||||
| -rw-r--r-- | tensorflow/docs_src/mobile/mobile_intro.md | 3 | ||||
| -rw-r--r-- | tensorflow/docs_src/mobile/tflite/devguide.md | 9 | ||||
| -rw-r--r-- | tensorflow/docs_src/tutorials/_index.yaml | 4 |
5 files changed, 11 insertions, 9 deletions
diff --git a/tensorflow/docs_src/guide/datasets_for_estimators.md b/tensorflow/docs_src/guide/datasets_for_estimators.md index b04af78cd8..e248bc3b07 100644 --- a/tensorflow/docs_src/guide/datasets_for_estimators.md +++ b/tensorflow/docs_src/guide/datasets_for_estimators.md @@ -76,7 +76,7 @@ Let's walk through the `train_input_fn()`. The function starts by using the @{tf.data.Dataset.from_tensor_slices} function to create a @{tf.data.Dataset} representing slices of the array. The array is sliced across the first dimension. For example, an array containing the -@{$tutorials/layers$mnist training data} has a shape of `(60000, 28, 28)`. +@{$tutorials/images/layers$mnist training data} has a shape of `(60000, 28, 28)`. Passing this to `from_tensor_slices` returns a `Dataset` object containing 60000 slices, each one a 28x28 image. diff --git a/tensorflow/docs_src/guide/eager.md b/tensorflow/docs_src/guide/eager.md index b2bc3273b4..1448f89cae 100644 --- a/tensorflow/docs_src/guide/eager.md +++ b/tensorflow/docs_src/guide/eager.md @@ -316,7 +316,7 @@ for (batch, (images, labels)) in enumerate(dataset): The following example creates a multi-layer model that classifies the standard -[MNIST handwritten digits](https://www.tensorflow.org/tutorials/layers). It +[MNIST handwritten digits](../tutorials/images/layers). It demonstrates the optimizer and layer APIs to build trainable graphs in an eager execution environment. diff --git a/tensorflow/docs_src/mobile/mobile_intro.md b/tensorflow/docs_src/mobile/mobile_intro.md index 241f01d460..402e507805 100644 --- a/tensorflow/docs_src/mobile/mobile_intro.md +++ b/tensorflow/docs_src/mobile/mobile_intro.md @@ -38,7 +38,8 @@ speech-driven interface, and many of these require on-device processing. Most of the time a user isn’t giving commands, and so streaming audio continuously to a remote server would be a waste of bandwidth, since it would mostly be silence or background noises. To solve this problem it’s common to have a small neural -network running on-device @{$tutorials/audio_recognition$listening out for a particular keyword}. +network running on-device +@{$tutorials/sequences/audio_recognition$listening out for a particular keyword}. Once that keyword has been spotted, the rest of the conversation can be transmitted over to the server for further processing if more computing power is needed. diff --git a/tensorflow/docs_src/mobile/tflite/devguide.md b/tensorflow/docs_src/mobile/tflite/devguide.md index 4133bc172a..b168d6c183 100644 --- a/tensorflow/docs_src/mobile/tflite/devguide.md +++ b/tensorflow/docs_src/mobile/tflite/devguide.md @@ -54,10 +54,11 @@ both floating point and quantized inference. ### Train a custom model A developer may choose to train a custom model using Tensorflow (see the -@{$tutorials} for examples of building and training models). If you have already -written a model, the first step is to export this to a @{tf.GraphDef} file. This -is required because some formats do not store the model structure outside the -code, and we must communicate with other parts of the framework. See +[TensorFlow tutorials](../../tutorials/) for examples of building and training +models). If you have already written a model, the first step is to export this +to a @{tf.GraphDef} file. This is required because some formats do not store the +model structure outside the code, and we must communicate with other parts of the +framework. See [Exporting the Inference Graph](https://github.com/tensorflow/models/blob/master/research/slim/README.md) to create .pb file for the custom model. diff --git a/tensorflow/docs_src/tutorials/_index.yaml b/tensorflow/docs_src/tutorials/_index.yaml index 43559ea193..26afb83060 100644 --- a/tensorflow/docs_src/tutorials/_index.yaml +++ b/tensorflow/docs_src/tutorials/_index.yaml @@ -174,9 +174,9 @@ landing_page: <a href="/guide/estimators">Estimators guide</a>. </p> <ol style="padding-left: 20px;"> - <li><a href="/tutorials/text_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li> + <li><a href="/tutorialstext_classification_with_tf_hub">How to build a simple text classifier with TF-Hub</a></li> <li><a href="https://github.com/tensorflow/models/tree/master/official/boosted_trees">Classifying Higgs boson processes</a></li> - <li><a href="/tutorials/wide_and_deep">Wide and deep learning using estimators</a></li> + <li><a href="/tutorials/representation/wide_and_deep">Wide and deep learning using estimators</a></li> </ol> </div> <div class="devsite-landing-row-item-buttons"> |