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Paper [1]: White-box neural network attack, adversaries have full access to the model. Using Gradient Descent going back to update the input so that r 阅读全文
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Reinforcement Learning Posts Step-by-step from Markov Property to Markov Decision Process Markov Decision Process in Detail Optimal Value Function and 阅读全文
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Hadoop(1): HDFS Basics Hadoop(2):HDFS Block Management Hadoop(3): Prepare inputs for MapReduce mappers Hadoop(4): How does Mapper work Hadoop(5): Part 阅读全文
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Machine Learning Algorithms Linear Regression and Gradient Descent Local Weighted Regression Algorithm Logistic Regression Generative Model vs Discrim 阅读全文
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Linear combination of vectors Affine combinations are linear combinations with a constraint on the sum of the coefficients lambda: Conic combinations: 阅读全文
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https://www.youtube.com/watch?v=tpdDlsg4Cws 阅读全文
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I had been searching for so long on google for solutions to visualize a high dimensional decision boundaries, but it seems no so many people having do 阅读全文
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GANs is supervised learning, so there is only X, no label y. The network tries to learn the data distribution of X, and the goal is to generate new sy 阅读全文
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Early attempts at explaining this phenomenon focused on nonlinearity and overfitting. We argue instead that the primary cause of neural networks’ vuln 阅读全文
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Analogy: Many insects have a larval form that is optimized for extracting energy and nutrients from the environment and a completely different adult f 阅读全文
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Taylor Approximation According to Taylor Series: It defines a way to estimate the value of function f, when the variable x has a small change Δx. If w 阅读全文