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https://github.com/horance-liu/tensorflow-internals
It is open source ebook about TensorFlow kernel and implementation mechanism.
https://github.com/horance-liu/tensorflow-internals
deeplearning machine-learning tensorflow
Last synced: 5 days ago
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It is open source ebook about TensorFlow kernel and implementation mechanism.
- Host: GitHub
- URL: https://github.com/horance-liu/tensorflow-internals
- Owner: horance-liu
- Created: 2018-06-30T02:50:29.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2023-05-05T09:00:03.000Z (over 1 year ago)
- Last Synced: 2025-01-10T16:08:48.152Z (12 days ago)
- Topics: deeplearning, machine-learning, tensorflow
- Language: TeX
- Homepage:
- Size: 102 MB
- Stars: 2,894
- Watchers: 155
- Forks: 583
- Open Issues: 21
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# TensorFlow Internals.
It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, distributed training for machine learning.
## Downloads
You can obtain full latex source files of TensorFlow Internals from [https://gitlab.com/horance/tensorflow-internals](https://gitlab.com/horance/tensorflow-internals)
## Install TeX distribution
You should install full texlive packages.
- Ubuntu
```bash
$ sudo apt-get install texlive-full
```
- MacOS
Download [MacTeX.pkg](http://tug.org/mactex/), and install it.
- Windows
Download [TeX Live](http://tug.org/texlive/), and install it (see [insruction](https://liam.page/texlive)).
## Install Missing Fonts
Then you should install some missing chinese fonts. Please download missing fonts from Gitlab.
```
$ git clone https://gitlab.com/horance/fonts.git
```
Then install all missing fonts.
- Ubuntu
```bash
$ sudo cp fonts/* /usr/local/share/fonts
$ sudo fc-cache
```
- MacOS
Import all missing fonts into fontbook, then cache all fonts.
```bash
$ sudo fc-cache
```
- Windows
Copy the all missing fonts into C:/WINDOWS/Fonts, then cache all fonts.
```bash
$ fc-cache
```
## Build
```bash
$ make
```
if you happen to Error begin with `?`, then press `R`(not `r`) and `Enter` to continue.
## Preview PDF
- Mac OSX
```bash
$ open output/tensorflow-internals.pdf
```
- Ubuntu
```bash
$ okular output/tensorflow-internals.pdf
```
if no okular installed, please install it.
```bash
$ sudo apt-get install okular
```
- Windows
open the file from directory `tensorflow-internals/output`.
## License
[MIT License](http://opensource.org/licenses/mit-license.html)