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Why can't a single layer neural network not solve the AND problem?

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#machine-learning #gradient-descent #neural-networks
189
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Are ReLU a very bad choice as last layer for regression?

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#calculus #gradient-descent #neural-networks #backpropagation
41
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What does the ℓ notation means in formula about negative sampling and noise contrastive estimation for word2vec skip-gram?

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#notation #machine-learning #sampling #neural-networks #noise
29
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python forecasting building LSTM

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#time-series #python #neural-networks
19
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Neural network inner/outer layer error term

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#neural-networks
199
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Expected value of a product of two ReLU functions

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#expected-value #neural-networks
294
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Proof Of Convergence Of Gradient Descent For Deep Neural Networks

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#stochastic-processes #gradient-descent #neural-networks
825
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2-layer feed-forward neural network mapping

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#linear-algebra #vector-spaces #neural-networks
214
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Derivative of a loss function with respect to learning rate.

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#machine-learning #gradient-descent #neural-networks
53
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How to use Neural Network to find a model which generate a given distribution?

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#probability #combinatorics #stochastic-processes #random-walk #neural-networks
72
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Why the magnitudes of the gradients produced by the soft targets scale as $1/T^2$ in knowledge distillation?

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#machine-learning #neural-networks
86
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What is the derivative of the Softmax function AFTER subtracting the maximum value from each input?

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#partial-derivative #neural-networks #backpropagation
131
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Tensors In Continuum Mechanics And Artificial Intelligence

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#linear-algebra #tensors #neural-networks #continuum-theory
22
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Can we put bounds on the number of stationary points over parameter space for a vanilla MLP where loss is MSE?

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#combinatorics #neural-networks #stationary-point
515
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Min function expressed by max functions

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#recurrence-relations #neural-networks

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