ContentsIntroduction1. Brief description of the package capabilities 1.1. Initialization functions of neurons1.2. Activation functions of neurons1.3. Training methods1.4. Methods of regulation and stabilization1.5. Methods and parameters of training an RBM1.6. Methods and parameters of training a DNN2. Testing the quality of work of a DNN depending on the used parameters 2.1. Experiments 2.1.1. Input data (preparation) ...
Table of Contents IntroductionCustom StopsModification of Stop LevelBreakevenTrailingstopTrailing TakeprofitImplementationCTrails (Container)Extending CTrailExamples more...
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Contents Introduction1. Sample selection 2. Dimensionality reduction 2.1. Principal component analysis (PCA)2.2. Independent component analysis (ICA)2.3. Probabilistic principal component analysis (PPCA)2.4. Autoencoder (nonlinear PCA) 2.5. Inverse nonlinear PCA (NLPCA)3. Dividing the data set into the train/valid/test setsConclusionApplication more...
Table of Contents IntroductionThe differences between the Pennant and the TriangleHorizontal PatternContracting TriangleExpanding TriangleA universal indicator to search for the Horizontal Pattern and TrianglesA universal indicator to search for the Flag, the Pennant and the WedgeTester IndicatorConclusionAttachments more...
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