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* Revert "fixing broken code repository links"

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* Revert "[Docs] Fixing old model link (#9886)"

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Neal Wu 2017-05-18 08:48:38 -07:00 committed by Rasmus Munk Larsen
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13
tensorflow/docs_src/tutorials/deep_cnn.md
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@ -83,15 +83,16 @@ for details. It consists of 1,068,298 learnable parameters and requires about
## Code Organization
The code for this tutorial resides in
[`models/tutorials/image/cifar10/`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/).
[`tensorflow_models/tutorials/image/cifar10/`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/).
File | Purpose
--- | ---
[`cifar10_input.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10_input.py) | Reads the native CIFAR-10 binary file format.
[`cifar10.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10.py) | Builds the CIFAR-10 model.
[`cifar10_train.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10_train.py) | Trains a CIFAR-10 model on a CPU or GPU.
[`cifar10_multi_gpu_train.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10_multi_gpu_train.py) | Trains a CIFAR-10 model on multiple GPUs.
[`cifar10_eval.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10_eval.py) | Evaluates the predictive performance of a CIFAR-10 model.
[`cifar10_input.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10_input.py) | Reads the native CIFAR-10 binary file format.
[`cifar10.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10.py) | Builds the CIFAR-10 model.
[`cifar10_train.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10_train.py) | Trains a CIFAR-10 model on a CPU or GPU.
[`cifar10_multi_gpu_train.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10_multi_gpu_train.py) | Trains a CIFAR-10 model on multiple GPUs.
[`cifar10_eval.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10_eval.py) | Evaluates the predictive performance of a CIFAR-10 model.
## CIFAR-10 Model

2
tensorflow/docs_src/tutorials/word2vec.md
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@ -23,7 +23,7 @@ straight in, feel free to look at the minimalistic implementation in
This basic example contains the code needed to download some data, train on it a
bit and visualize the result. Once you get comfortable with reading and running
the basic version, you can graduate to
[models/tutorials/embedding/word2vec.py](https://github.com/tensorflow/models/blob/master/tutorials/embedding/word2vec.py)
[tensorflow_models/tutorials/embedding/word2vec.py](https://www.tensorflow.org/code/tensorflow_models/tutorials/embedding/word2vec.py)
which is a more serious implementation that showcases some more advanced
TensorFlow principles about how to efficiently use threads to move data into a
text model, how to checkpoint during training, etc.