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ModelZoo
ResNet50_tensorflow
Commits
b0ee52c8
Commit
b0ee52c8
authored
Mar 13, 2017
by
Chris Shallue
Committed by
GitHub
Mar 13, 2017
Browse files
Merge pull request #1159 from cshallue/master
Update TF install link.
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5ca1ef49
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...
@@ -12,9 +12,9 @@ Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan.
...
@@ -12,9 +12,9 @@ Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan.
Full text available at: http://arxiv.org/abs/1609.06647
Full text available at: http://arxiv.org/abs/1609.06647
## Contact
## Contact
***Author:**
*
Chris Shallue
(shallue@google.com).
***Author:**
*
Chris Shallue
***Pull requests and issues:**
*
@cshallue
.
***Pull requests and issues:**
*
@cshallue
## Contents
## Contents
*
[
Model Overview
](
#model-overview
)
*
[
Model Overview
](
#model-overview
)
...
@@ -118,12 +118,12 @@ approximately 10 times slower.
...
@@ -118,12 +118,12 @@ approximately 10 times slower.
### Install Required Packages
### Install Required Packages
First ensure that you have installed the following required packages:
First ensure that you have installed the following required packages:
*
**Bazel**
(
[
instructions
](
http://bazel.io/docs/install.html
)
)
.
*
**Bazel**
(
[
instructions
](
http://bazel.io/docs/install.html
)
)
*
**TensorFlow**
r0.12
or greater (
[
instructions
](
https://www.tensorflow.org/
versions/master/get_started/os_setup.html
)
)
.
*
**TensorFlow**
1.0
or greater (
[
instructions
](
https://www.tensorflow.org/
install/
)
)
*
**NumPy**
(
[
instructions
](
http://www.scipy.org/install.html
)
)
.
*
**NumPy**
(
[
instructions
](
http://www.scipy.org/install.html
)
)
*
**Natural Language Toolkit (NLTK)**
:
*
**Natural Language Toolkit (NLTK)**
:
*
First install NLTK (
[
instructions
](
http://www.nltk.org/install.html
)
)
.
*
First install NLTK (
[
instructions
](
http://www.nltk.org/install.html
)
)
*
Then install the NLTK data (
[
instructions
](
http://www.nltk.org/data.html
)
)
.
*
Then install the NLTK data (
[
instructions
](
http://www.nltk.org/data.html
)
)
### Prepare the Training Data
### Prepare the Training Data
...
...
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