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hanugm
  • Member for 5 years, 8 months
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2 votes
2 answers
541 views

Do solving system of linear equations required anywhere in contemporarty deep learning?

2 votes
3 answers
257 views

Is there any domain in machine learning that solves a problem by using only analytical algorithms?

2 votes
1 answer
489 views

Is there any inherent assumption of start and goal states in an MDP?

2 votes
1 answer
502 views

What exactly is a Parzen?

2 votes
1 answer
278 views

What does it mean by strong or sufficient gradient for training in this context?

2 votes
1 answer
122 views

Do researchers generally treat tensors just as mathematical objects with certain shape?

2 votes
0 answers
745 views

Is there any difference between "image generation" and "image synthesis"?

2 votes
2 answers
523 views

Does regularization just mean using an augmented loss function?

2 votes
1 answer
627 views

What does "linear unit" mean in the names of activation functions?

2 votes
1 answer
512 views

Why is it called "batch" gradient descent if it consumes the full dataset before calculating the gradient?

2 votes
0 answers
282 views

What is an "additional channel dimension" contain in batch normalization?

2 votes
1 answer
153 views

What is meant by "well-behaved gradient" in this context?

2 votes
2 answers
2k views

What is the need for so many filters in a CNN?

2 votes
1 answer
6k views

What is the definition of the hinge loss function?

2 votes
0 answers
147 views

What are the purposes of pooling in CNNs?

2 votes
1 answer
127 views

Is the existence and uniqueness of the state-value function for $\gamma < 1$ theoretical?

2 votes
0 answers
489 views

What is the purpose of the DAMSM loss for the generators in AttnGAN?

2 votes
1 answer
234 views

Is categorical encoding a type of word embedding?

2 votes
1 answer
168 views

What is the meaning of "continuous" in a continuous bag-of-words model?

2 votes
1 answer
3k views

What are (all) the differences between a neuron and a perceptron?

2 votes
1 answer
408 views

Book(s) on generative models

2 votes
1 answer
159 views

How would the probability of a document $P(d)$ be computed in the Naive Bayes classifier?

2 votes
2 answers
4k views

What does 'channel' mean in the case of an 1D convolution?

2 votes
1 answer
609 views

What does 'input planes' mean in the phrase 'input signal/image composed of several input planes'?

2 votes
1 answer
561 views

How do very rare words tend to have very high PMI values?

2 votes
0 answers
415 views

Is there any animation that illustrates the "fold" and "unfold" operations of convolutional layers?

2 votes
0 answers
27 views

Is there any closed form analytical expression to represent fractional max pooling?

1 vote
1 answer
247 views

Is there any metric for calculating how natural a single image is given a dataset of the same class images?

1 vote
1 answer
268 views

Where does batch normalization layers present in a neural network?

1 vote
0 answers
616 views

Is there any gain by lazy initialization of weights, biases and number of input channels for a convolution operation?

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