Ref: Baysian Analysis with Python by Osvaldo Martin ?????????????????- 階層ベイズによる直線回帰
Programming
Probabilistic Programming: Robust Linear Regression
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Probabilistic Programming: Pearson Correlation Coefficient
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Probabilistic Programming: Core Linear Regression
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Probabilistic Programming: t-Distribution
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Probabilistic Programming: Normal Distribution with Seaborn
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Probabilistic Programming: Bernoulli trial with Scipy & PyMC3
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Jupyter Notebook + TensorBoard under Docker
今回のTensorflowに関する13回の連載で、頭の中に散在していたTensorflowの知識について、かなり整理できた。あとは応用部分ということでしょう。ところで、TensorflowやTensorboardは、Do
TensorFlow #Neural Network ? 3 ：Multi-Layer Perceptron
実データで調整してみる。以前の過去の全身麻酔1万3852症例のデータベースから、術中尿量が理想体重あたりで算定される膀胱容量を越えてしまうかどうか、つまり二値分類（Binary Classification)を、事前に得
TensorFlow #Neural Network ? 2 with TB：fully_connected
tf.contrib.layers.fully_connected()でNeural Network APIでは、 fully_connectedは、完全