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Python&機械学習ライブラリ TensorFlow の使い方の練習コード集。特にニューラルネットワークを重点的に取り扱い。

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MachineLearning_Exercises_Python_TensorFlow

Python&機械学習ライブラリ TensorFlow の使い方の練習コード集。
機械学習の中でも、特にニューラルネットワークに重点的に取り扱います。
機械学習の理論解説付きです。

分かりやすいように、各フォルダ毎で完結したコード一式になっています。
又、各フォルダにある README.md ファイルに、コード実行結果の解説と合わせて関連する機械学習の背景理論の解説も記載していきます。

機械学習ライブラリ : TensorFlow

https://www.tensorflow.org

GitHub :

https://github.com/tensorflow/tensorflow

チートシート:

https://github.com/louishenrifranc/Tensorflow-Cheatsheet

API 集 :

https://www.tensorflow.org/api_docs/python/

TensorBorad :
https://deepage.net/tensorflow/2017/04/25/tensorboard.html
http://tensorflow.classcat.com/2016/02/13/tensorflow-how-tos-graph-visualization/

ニューラルネットワーク :

OverView :
https://www.tensorflow.org/versions/r0.12/api_docs/python/nn/

検証用データセット

dataset.md

https://github.com/Yagami360/MachineLearning_Exercises_Python_TensorFlow/blob/master/dataset.md

項目(フォルダ別)

  1. ./Processing_TensorFlow
  2. ./ProcessingForMachineLearning_TensorFlow
  3. ./MultilayerPerceptron_TensorFlow
  4. ./CNN_TensorFlow
  5. ./CNN_StyleNet_TensorFlow
  6. ./RNN_TensorFlow
  7. ./RNN_LSTM_TensorFlow
  8. ./Seq2Seq_RNN_Encoder-Decoder_TensorFlow
  9. ./GAN_DCGAN_TensorFlow
  10. ./ObjectDetection_SSD_TensorFlow/
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