Cosine similarity numpy

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      Firstly, we explore the basic yet fundamental assumptions in creating a bare-bones neural network through the Python NumPy library. A top-level neural network model is proposed for initialising starting weights and predicting activation functions for the underlying primary network, based on the domain and features of input data.

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      Orthogonality of sine and cosine functions, Dirichlet Conditions (Statement only). Expansion of periodic functions in a series of sine and cosine functions and determination of Fourier coefficients. ... Introduction to the python numpy module. Arrays in numpy, array operations, array item selection, slicing, shaping arrays. ... Self-similarity ...

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      [6] Mirjalili S. SCA: A Sine Cosine Algorithm for solving optimization problems [J]. Knowledge-Based Systems, 2016, 96: 120-133. [7]郎春博,贾鹤鸣,邢致恺,彭晓旭,李金夺,康立飞.基于改进正余弦优化算法的多阈值图像分割[J].计算机应用研究. 2020,37(04):1215-1220.

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      Introduction to Data Mining:- Introduction, What is Data Mining, Definition, KDD, Challenges, Data Mining Tasks, Data Preprocessing, Data Cleaning, Missing data, Dimensionality Reduction, Feature Subset Selection, Discretization and Binaryzation, Data Transformation; Measures of Similarity and Dissimilarity- Basics.

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