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15 Questions

Votes Activity Newest Views

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385

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Does using the softmax function in Q learning not defeat the purpose of Q learning?

reinforcement-learning q-learning

Jun 23 at 8:02 YuCheng Yang 1

votes

answers

views

Why do regression LSTMs learn high to low inputs significantly better than low to high?

neural-networks long-short-term-memory

Jan 18 at 2:37 Recessive 790

votes

answer

views

In unsupervised learning, what is meant by “finding the probability of an image”?

unsupervised-learning

Dec 6 at 17:35 Diego Gomez 368

votes

answer

views

Structure discrepancy of an LSTM?

neural-networks backpropagation long-short-term-memory

Sep 8 '19 at 5:05 mshlis 1,835

votes

answer

views

How are exploding numbers in a forward pass of a CNN combated?

machine-learning convolutional-neural-networks relu

Jun 28 '19 at 10:51 nbro 18.9k

votes

answer

views

How is a neural network where the majority of inputs are 0 trained?

convolutional-neural-networks training backpropagation alexnet

Jun 12 at 23:52 nbro 18.9k

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answers

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How is the bias caused by a max pooling layer overcome?

machine-learning convolutional-neural-networks relu bias-variance-tradeoff

Nov 20 at 1:55 Pluviophile 899

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answer

views

Why does an LSTM cycle on initialisation?

long-short-term-memory

Oct 8 at 0:38 nbro 18.9k

vote

answer

views

Possible model to use to find pixel locations of objects

convolutional-neural-networks object-detection regression

Jul 6 at 10:06 Community♦ 1

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answer

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Dropout causes too much noise for network to train

neural-networks convolutional-neural-networks dropout regularization relu

Apr 13 at 12:01 Community♦ 1

vote

answer

views

Is the following the correct implementation of the Q learning algorithm for a neural network?

neural-networks q-learning

Dec 9 at 14:36 Neil Slater 14k

vote

answers

views

What are the standard problems for CNNs and LSTMs?

convolutional-neural-networks long-short-term-memory

Oct 20 at 15:07 nbro 18.9k

votes

answer

views

Positive bias causes the calculation of incorrect gradients

convolutional-neural-networks backpropagation

Jul 12 at 6:04 Community♦ 1

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answers

views

How does an LSTM output the correct dimensions for classes?

long-short-term-memory

Sep 3 '19 at 3:53 Recessive 790

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answer

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Is it possible with stochastic gradient descent for the error to increase?

neural-networks gradient-descent loss-functions

Jul 10 '19 at 5:33 mirror2image 547

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15 Questions

Does using the softmax function in Q learning not defeat the purpose of Q learning?

Why do regression LSTMs learn high to low inputs significantly better than low to high?

In unsupervised learning, what is meant by “finding the probability of an image”?

Structure discrepancy of an LSTM?

How are exploding numbers in a forward pass of a CNN combated?

How is a neural network where the majority of inputs are 0 trained?

How is the bias caused by a max pooling layer overcome?

Why does an LSTM cycle on initialisation?

Possible model to use to find pixel locations of objects

Dropout causes too much noise for network to train

Is the following the correct implementation of the Q learning algorithm for a neural network?

What are the standard problems for CNNs and LSTMs?

Positive bias causes the calculation of incorrect gradients

How does an LSTM output the correct dimensions for classes?

Is it possible with stochastic gradient descent for the error to increase?