diff options
| author |  Vijay Vasudevan <vrv@google.com> | 2016-03-22 22:01:30 -0800 |
|---|---|---|
| committer |  TensorFlower Gardener <gardener@tensorflow.org> | 2016-03-22 23:09:46 -0700 |
| commit | 37606a4c63364c56a0834d281023b62d2bda6cd8 (patch) | |
| tree | b6e625bc001e4e9bf9432cc963211b5667b2f455 /tensorflow/g3doc/tutorials | |
| parent | 18cbeda07a526acbf899ac2363541b8f0b6df29a (diff) | |
Merge changes from github, some fixes to adhere somewhat
to our requirements for skflow.
Change: 117901053
Diffstat (limited to 'tensorflow/g3doc/tutorials')
| -rw-r--r-- | tensorflow/g3doc/tutorials/index.md | 2 | ||||
| -rw-r--r-- | tensorflow/g3doc/tutorials/word2vec/index.md | 2 |
2 files changed, 2 insertions, 2 deletions
diff --git a/tensorflow/g3doc/tutorials/index.md b/tensorflow/g3doc/tutorials/index.md index 9773fee3be..d5c2a2e472 100644 --- a/tensorflow/g3doc/tutorials/index.md +++ b/tensorflow/g3doc/tutorials/index.md @@ -114,6 +114,6 @@ Building on the Inception recognition model, we will release a TensorFlow version of the [Deep Dream](https://github.com/google/deepdream) neural network visual hallucination software. -COMING SOON +[View Tutorial](https://www.tensorflow.org/code/tensorflow/examples/tutorials/deepdream/deepdream.ipynb) diff --git a/tensorflow/g3doc/tutorials/word2vec/index.md b/tensorflow/g3doc/tutorials/word2vec/index.md index 32323c5774..48fb18641f 100644 --- a/tensorflow/g3doc/tutorials/word2vec/index.md +++ b/tensorflow/g3doc/tutorials/word2vec/index.md @@ -255,7 +255,7 @@ embeddings = tf.Variable( tf.random_uniform([vocabulary_size, embedding_size], -1.0, 1.0)) ``` -The noise-contrastive estimation loss is defined in terms a logistic regression +The noise-contrastive estimation loss is defined in terms of a logistic regression model. For this, we need to define the weights and biases for each word in the vocabulary (also called the `output weights` as opposed to the `input embeddings`). So let's define that. |