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Merge pull request tensorflow#1443 from kemaswill/FixTypo_20170504
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Fix Typos
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nealwu authored May 6, 2017
2 parents c029806 + 559cd83 commit e89f891
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2 changes: 1 addition & 1 deletion cognitive_mapping_and_planning/README.md
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Expand Up @@ -106,7 +106,7 @@ citing the following paper:

### Train Your Own Models
All models were trained asynchronously with 16 workers each worker using data
from a single floor. The default hyper-parameters coorespond to this setting.
from a single floor. The default hyper-parameters correspond to this setting.
See [distributed training with
Tensorflow](https://www.tensorflow.org/deploy/distributed) for setting up
distributed training. Training with a single worker is possible with the current
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2 changes: 1 addition & 1 deletion inception/README.md
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Expand Up @@ -260,7 +260,7 @@ Note that in this example each replica has a single tower that uses one GPU.
The command-line flags `worker_hosts` and `ps_hosts` specify available servers.
The same binary will be used for both the `worker` jobs and the `ps` jobs.
Command line flag `job_name` will be used to specify what role a task will be
playing and `task_id` will be used to idenify which one of the jobs it is
playing and `task_id` will be used to identify which one of the jobs it is
running. Several things to note here:

* The numbers of `ps` and `worker` tasks are inferred from the lists of hosts
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2 changes: 1 addition & 1 deletion skip_thoughts/README.md
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Expand Up @@ -285,7 +285,7 @@ bazel-bin/skip_thoughts/vocabulary_expansion \

The model can be evaluated using the benchmark tasks described in the
[Skip-Thought Vectors](https://papers.nips.cc/paper/5950-skip-thought-vectors.pdf)
paper. The following tasks are suported (refer to the paper for full details):
paper. The following tasks are supported (refer to the paper for full details):

* **SICK** semantic relatedness task.
* **MSRP** (Microsoft Research Paraphrase Corpus) paraphrase detection task.
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