Financial Credit Risk Management
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Fully Convolutional Networks for Semantic Segmentation
GitHub
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什么是卷积神经网络(CNN)?它在计算机视觉中的应用是什么?
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Python, data science, pandas
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Python, data science, numpy
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今天不谈机器学习,不再整理一些记不住的知识,而是在三十又一的当下,记录一下最近的思考。
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gradient descent, stochastic gradient descent, batch gradient descent
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激活函数(Activation Function),负责将神经元的输入映射到输出端,激活函数将神经网络中将输入信号的总和转换为输出信号。激活函数大多是非线性函数,才能将多层感知机的输出转换为非线性,使得神经网络可以任意逼近任何非线性函数,进而可以应用到众多的非线性模型中。
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Classification Algorithms
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It is a popular statistical analysis model used for forecasting time series data. ARIMA models are especially well-suited for short to medium-term forecasting models that have data with trends, seasonality, or cyclic patterns. The model aims to describe the autocorrelations in the data.
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The importance of clustering are of
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Metrics used to evaluate predictive modeling, highly used in regression, time-series forecasting cases.
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My notes on this paper: OCR-free Document Understanding Transformer (github repo).
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A summary of object detection algorithms