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diff --git a/tensorflow/docs_src/tutorials/deep_cnn.md b/tensorflow/docs_src/tutorials/deep_cnn.md index b57ef24f58..6f802fd106 100644 --- a/tensorflow/docs_src/tutorials/deep_cnn.md +++ b/tensorflow/docs_src/tutorials/deep_cnn.md @@ -83,21 +83,21 @@ 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/). +[`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 The CIFAR-10 network is largely contained in -[`cifar10.py`](https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10/cifar10.py). +[`cifar10.py`](https://www.tensorflow.org/code/tensorflow_models/tutorials/image/cifar10/cifar10.py). The complete training graph contains roughly 765 operations. We find that we can make the code most reusable by constructing the graph with the following modules: |