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Create a differentiable loss function for neural network binary classifier

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#neural-networks #backpropagation
99
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Are there models (of some theories) that are not theories itself?

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#logic #first-order-logic #model-theory #neural-networks
21
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Back Prop Algorithm Details

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#linear-algebra #neural-networks
24
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How to drive an expression between input and output layer in ReLU-Neural Network?

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#neural-networks
59
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Backpropagation Hidden Layer Error

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#neural-networks #backpropagation
36
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Backpropagation of position-wise feedforward neural network

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#machine-learning #neural-networks #backpropagation
44
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On gradient descent on $\beta \mapsto \frac1n \sum_{i=1}^{m} r_i^2(\beta)$

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#nonlinear-optimization #numerical-optimization #gradient-descent #neural-networks #mean-square-error
49
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Machine learning with algebraic information

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#general-topology #machine-learning #neural-networks #topological-data-analysis
64
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Vanishing/Exploding gradients clarification

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#machine-learning #gradient-descent #neural-networks
27
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How to prove the smoothness assumption of the loss function in the convergence of the Adam optimizer?

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#neural-networks
42
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Rosenblatt Perceptron theory question.

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#solution-verification #machine-learning #neural-networks
105
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Similarity between mathematical expressions

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#metric-spaces #machine-learning #neural-networks
19
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How does batch normalization enable larger learning rate?

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#gradient-descent #neural-networks
86
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Why doesn't optimization result in the same weights for all neurons in the same layer?

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#machine-learning #gradient-descent #neural-networks
36
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Generalization error of a simple perceptron for a student-teacher network

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#probability-theory #neural-networks

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