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Defined $I={1,2,…,N}$ is the set of goods. When the weight of each item $i in I$ is $w_i$ value and the upper limit of the total weight of $ v_i$ item is $W$, the following is called the knapsack problem. $$max ∑{i in I}v_iw_i s.t. ∑{i in I}v_iw_ile Wxin mathbb{N}(forall in I)$$ where $x_i$ represents…
Learn with books 1. Deep Learning (Adaptive Computation and Machine Learning series) This deep learning book is a resource for people involved in machine learning, by people involved in machine learning, to start from scratch for getting involved in machine learning. Provided by Ian Goodfellow, Yoshua Bengio, Aaron Courville What you will learn Configuration Part…
Learn with books 1. Deep Learning (Adaptive Computation and Machine Learning series) This deep learning book is a resource for people involved in machine learning, by people involved in machine learning, to start from scratch for getting involved in machine learning. Provided by Ian Goodfellow, Yoshua Bengio, Aaron Courville What you will learn Configuration Part…
$$QFT |x> = frac{1}{2^{n/2}} sum_{y=0}^{2^n-1} e^{2 pi iyx / 2^n} |y>$$ $|x_1>$ = -H-CR2-CR3-.. -CRn—————–$|x_2>$ = ——————H-CR2–.. ———-.. $|x_{n-1}>$ = ———————.. –H-CR2—$|x_n>$ = ————————-.. ——–H-
Perceptron Source code Learn more about perceptrons Import. Create data. Plot. Encode the discriminating function $$y(x) = f(w^T phi (x))$$ Code the activation function $$f(a) =begin{cases}+1 (a geq 0) \-1 (a leq 0)end{cases}$$ Predict. Code parameter updates $$w^{i+1} = w^{i} + eta phi (n) t(n)$$ Learn. Least squares Source code Learn more about least squares…
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Click here for the press release summary On October 4, 2022, the Nobel Prize in Physics was decided as follows: Alain Aspe Paris Sakurai University and École Polytechnique, Palaiseau, France John Crowther J.F. Crowther & Associates, Walnut Creek, California, USA Anton Seillinger Austria, University of Vienna They conducted groundbreaking experiments on "quantum entanglement" and their…
How to create a "soft sensor" based on an LSTM network You'll need to take the following steps: Collect data and preprocess It collects data from processes and systems that you want to monitor. It is to preprocess it for use in an LSTM network. This includes data cleaning, normalization, and network understanding. Format and…
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Learn with books 1. Deep Learning (Adaptive Computation and Machine Learning series) This deep learning book is a resource for people involved in machine learning, by people involved in machine learning, to start from scratch for getting involved in machine learning. Provided by Ian Goodfellow, Yoshua Bengio, Aaron Courville What you will learn Configuration Part…
