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ゼロから学ぶディープラーニング - AWS上のJupyterを使ったハンズオン

Last updated at Posted at 2018-02-03

Japanese

ファイル 内容
ハンズオン・レクチャー資料 グロービス 人工知能研究会/テクノベート勉強会で用いたレクチャー資料
AWS_SETUP.md AWS上にJupyter環境を構築するためのガイド
file1_vector_and_matrix.ipynb ベクトルと行列
file2_two_layer_NN.ipynb ニューラルネットワークを行列計算で表現する
file3_gakusyu.ipynb 手書き文字(数字)認識の実践
file4_hyper_parameter.ipynb より高い精度を出せるハイパーパラメータの探求
file5_CNN.ipynb 畳み込みニューラルネットワークの評価

English

File Contents
AWS_SETUP_E.md Building Jupyter Environment on AWS
file1_vector_and_matrix_E.ipynb Vector and Matrix
file2_two_layer_NN_E.ipynb Neural-Network Expression by Matrix
file3_gakusyu_E.ipynb Hand-writing Digits Recognition
file4_hyper_parameter_E.ipynb Finding Hyper Parameters for Higher Accuracy
file5_CNN_E.ipynb Convolutional Neural Network Estimation
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