Questions tagged [generator]

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Pre-training on a subset and after train again with whole

I am implementing a Context Encoder on CelebA dataset, due my hardware limitation the whole dataset takes too long for training the Generator and Discriminator, Can I pre-training my models on a ...
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NN's Accuracy binds for some reason with the label's probability

I'm working on a project of face comparing using Siamese neural network architecture. For research purpuoses I'm using the LFW, CFPLFW (Front Profile) and CALFW (Cross Age) datasets. btw, is there any ...
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Continuous Time Markov chain [duplicate]

What is the intuition behind 'Infinitesimal generator matrix?What why we need it?Why it is called generator matrix?what it generates?
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1 vote
1 answer
234 views

Combine ReLU with TanH is a good idea?

I have a CNN implementation for the Generator of a GAN, internally, the architecture is using ReLU for non-linearities, but at the output, the paper of the architecture specifies Tanh must be used. ...
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1 vote
1 answer
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Different signal length for each batch

I wonder if it Is it possible to have a different signal length for each batch when training a model. Batch 1 : all signals of length 1000 Batch 2 : all signals of length 2000 Batch 3 : all signals ...
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1 answer
164 views

Random number generator independence

I have a naïve question about random number generators. Say I want to generate a set of random variables from different exponential distributions,$$X_i \sim \mathcal {Exp}(\lambda_i)$$ Assume the$X_i$'...
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4 votes
1 answer
459 views

Questions regarding generator function of a copula

Context This post concerns Archimedean copulas, specifically as given in [1]. In this post, I ask a series of questions with the intent of clarifying what is written in [1]. Questions In [1], it ...
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2 votes
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166 views

Interpolating time ordered smooth function into space

I am using GAMs in R to generate daily weather variables, mainly precipitation and temperature. Currently, I am fitting a model for each weather station but I would like to use it in places where ...
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1 vote
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58 views

How to generate a Bernoulli distribution based on a given Bernoulli distribution? [closed]

We have a Bernoulli distribution which outputs 1 with probability C and outputs 0 with probability 1-C. C is unknown. Now we would like to generate a new Bernoulli distribution that outputs 1 with ...
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466 views

Advantage of fit_generator() in keras [closed]

I was wondering if the fit_generator() in keras has any advantage in respect to memory usage over using the usual fit() method ...
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  • 375
2 votes
2 answers
55 views

Generates variates of $F^s$ given a known algorithm for variates of $F$

Let rv $X$ have a distribution $F (t):={\rm Prob}(X <t)$ and rv $Y$ have a distribution $G (t):=(F(t))^s$ for some constant $s>0$. Suppose that I know an algorithm for generating random variates ...
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11 votes
3 answers
13k views

Why use Binary Cross Entropy for Generator in Adversarial Networks

I'm trying to work with General Adversarial Networks and there's something I'm seeing everywhere but can't explain why... the GANs are usually constructed from a Generator (which usually generates an ...
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1 answer
82 views

Data set generator [closed]

I'd like to ask if someone knows a good data set generator for multi-target/Multivariate regression All the best Richard
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1 answer
132 views

Markov Process-Variance of time until jump

A Markov process on E = {1, 2} is constructed according to holding time parameters λ1 = 2 and λ2 = 4; the defining Markov chain has transition probabilities p11 = p12 = 0.5 and p21 = 1. How do I ...
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3 votes
0 answers
241 views

Discrete time generator of stochastic process

While looking at one paper about Metropolic Hasting optimal convergence rates, I came accross a discrete time generator of Markov chain. It is defined as follows: $$G V(x)=nE\left [ \left( V(y)-V(x)\...
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