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Let $\rho$ be minimum attainable from $y_n(W^{T}X_n)$ where $W^$ is the vector that separates the data. Show $\rho > 0$

machine-learning proofs perceptron

modified 22 mins ago John Rawls 101

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1

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94

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Mapping input vectors of variable length to output vectors of variable lengths with dummy variables

neural-networks training

answered 47 mins ago Oso 401

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Showing first layer RGB weights similarly to AlexNet

neural-networks convolutional-neural-networks

modified 1 hour ago Community♦ 1

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0

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86

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How to weigth constraints in a control problem with Reinforcement learning

reinforcement-learning control-problem

modified 1 hour ago PeterBe 157

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1

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98

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How can I generate "what", "why" and "who" types of questions from question templates?

machine-learning natural-language-processing

modified 3 hours ago nbro♦ 29k

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How can the V and Q functions take the expectation over a sum where the number of summands is random?

reinforcement-learning math value-functions probability-theory

modified 3 hours ago nbro♦ 29k

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Is it possible to apply 2D convolution to 1D data?

convolutional-neural-networks convolution

modified 3 hours ago nbro♦ 29k

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34

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When should we use CNN instead of MLP?

convolutional-neural-networks comparison applications multilayer-perceptron

modified 3 hours ago nbro♦ 29k

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1

answer

27

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What problem does the neural network really solve?

neural-networks training supervised-learning labeled-datasets

modified 3 hours ago nbro♦ 29k

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Additional Training of TadGAN

machine-learning training generative-adversarial-networks time-series

asked 3 hours ago jros 1

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Is Speech to Speech with changing the voice to a given other voice possible?

natural-language-processing reference-request deepfakes speech-synthesis

modified 3 hours ago nbro♦ 29k

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How to handle random order of inputs and get same output?

neural-networks tensorflow keras input-layer

answered 4 hours ago user253751 340

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How to generate a response while considering past questions as well?

natural-language-processing python transformer question-answering

modified 4 hours ago nbro♦ 29k

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Is there a complement to GPT/2/3 that can be trained using supervised learning methods?

natural-language-processing models natural-language-understanding text-generation

answered 5 hours ago Langueneers 1

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