https://github.com/gunhochoi/kind_tensorflow_tutorial

친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!
https://github.com/gunhochoi/kind_tensorflow_tutorial

korean numpy tensorflow tensorflow-tutorial

Last synced: about 1 month ago
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친절한 한글 설명과 함께하는 텐서플로우 튜토리얼입니다!

• Host: GitHub
• URL: https://github.com/gunhochoi/kind_tensorflow_tutorial
• Owner: GunhoChoi
• Created: 2017-01-13T21:16:31.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-12T06:50:38.000Z (over 7 years ago)
• Last Synced: 2024-09-22T08:31:01.257Z (about 2 months ago)
• Topics: korean, numpy, tensorflow, tensorflow-tutorial
• Language: Jupyter Notebook
• Homepage:
• Size: 372 KB
• Stars: 8
• Watchers: 3
• Forks: 5
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# What is Tensorflow?

- 텐서플로우란 무엇인가? (공식사이트번역 -> https://gist.github.com/haje01/202ac276bace4b25dd3f)

- 먼저 텐서플로우를 설치하자 (https://marcnu.github.io/2016-08-17/Tensorflow-v0.10-installed-from-scratch-Ubuntu-16.04-CUDA8.0RC-cuDNN5.1-1080GTX/)

- 튜토리얼은 Tensorflow version r0.12 Ubuntu 16.04, GPU enabled, Python 3.5, CUDA toolkit 8.0, CuDNN v5인 상태로 작성하였습니다.

# Tensorflow_Tutorial

1. 텐서플로우를 사용하기에 앞서 필요한 기본 변수들 = [ Variable, Constant, Placeholder ]

2. 텐서플로우로 기본적인 Linear function을 만들어보자 = [ y=w*x+b ]

3. 그나저나 텐서플로우를 써야하는 이유는 무엇일까? = [ only Numpy vs Numpy & Tensorflow ]

4. 그렇다면 이번엔 Convolutional Neural Network를 짜보자 = [ tf.conv2d(), tf.max_pool() ]

5. 지나간 것들을 기억하는 뉴럴넷 RNN을 짜보자 = [ tf.nn.rnn_cell() ]

# Tensorflow Tools

1. 제일 기본이되는 Tensorflow API (https://www.tensorflow.org/api_docs/python/)

2. Tensorflow Visual Debugger (https://github.com/ericjang/tdb)

3. Hvass-Labs Tensorflow Tutorial (https://github.com/Hvass-Labs/TensorFlow-Tutorials)

4. Another Tensorflow Tutorial (https://github.com/nlintz/TensorFlow-Tutorials)

5. 텐서플로우 코드를 더 간단하게 바꿔주는 tf.slim (https://github.com/tensorflow/tensorflow/blob/a304537954a865752ad1b18461e6bd67b36082db/tensorflow/contrib/slim/README.md)