Question

Does batchNormalizationLayer influence network results?

As far as I know, batchnormalization is used for speeding up model training, it does not influence network results too much. How...

alrededor de 18 horas ago | 0 answers | 0

Answered

Function fitting using conventional neutral network

you can refer to the given exmaple for Deep designer app.

Function fitting using conventional neutral network

you can refer to the given exmaple for Deep designer app.

4 días ago | 0

Answered

How to customize the "model function" in the deep learning toolbox to add learnable parameters?

please see the demo of training gan.

How to customize the "model function" in the deep learning toolbox to add learnable parameters?

please see the demo of training gan.

6 días ago | 0

Answered

Deep Learning, Image Processing, Custom Loop

for custom loop, please see the demo for training gan. Train Generative Adversarial Network (GAN) - MATLAB & Simulink (mathwork...

Deep Learning, Image Processing, Custom Loop

for custom loop, please see the demo for training gan. Train Generative Adversarial Network (GAN) - MATLAB & Simulink (mathwork...

6 días ago | 0

Answered

coding structure of gaussian noise layer

here is the code: classdef gaussianNoiseLayer < nnet.layer.Layer % gaussianNoiseLayer Gaussian noise layer % A ...

coding structure of gaussian noise layer

here is the code: classdef gaussianNoiseLayer < nnet.layer.Layer % gaussianNoiseLayer Gaussian noise layer % A ...

7 días ago | 0

Answered

How to train a Faster R-CNN with a Multi-labeled images table?

what does multi-labeled ground-truth mean? the MathWorks' rcnn example is for object detection with mutilple instances but one...

How to train a Faster R-CNN with a Multi-labeled images table?

what does multi-labeled ground-truth mean? the MathWorks' rcnn example is for object detection with mutilple instances but one...

7 días ago | 0

Answered

Issues: Training CNN on LFW database.

reduce the learning rate to a smaller value such as 0.0001, try to add more data and add dropout layer, or change a little weak...

Issues: Training CNN on LFW database.

reduce the learning rate to a smaller value such as 0.0001, try to add more data and add dropout layer, or change a little weak...

7 días ago | 0

Answered

How to visualize the changes in dlarray/weight distribution with histograms in deep learning?

as far as I know, there is no direct way to visulize the net weight but net activation or structure can be visulized in matlab...

How to visualize the changes in dlarray/weight distribution with histograms in deep learning?

as far as I know, there is no direct way to visulize the net weight but net activation or structure can be visulized in matlab...

7 días ago | 0

Answered

Deep learning layer with custom backward() function

dlnetwork is for customed training loop and dlfeval is for customed model gradients using defined gradient funtction. you can r...

Deep learning layer with custom backward() function

dlnetwork is for customed training loop and dlfeval is for customed model gradients using defined gradient funtction. you can r...

7 días ago | 0

Answered

How does matlab visualize the deep neural network structure diagram?

plot(net) is a simple way to visualize net structure in matlab or deep network app designer is a better way. but there is no ...

How does matlab visualize the deep neural network structure diagram?

plot(net) is a simple way to visualize net structure in matlab or deep network app designer is a better way. but there is no ...

7 días ago | 0

Answered

Validation Accuracy doesn't increase.

reduce the initial learning rate to a smaller value such as 0.0001

Validation Accuracy doesn't increase.

reduce the initial learning rate to a smaller value such as 0.0001

8 días ago | 0

Answered

Validation accuracy that appears different from the graph in DeepNetworkDesigner

it is overfit. add more training data, or add dropout layer, or reduce net layers.

Validation accuracy that appears different from the graph in DeepNetworkDesigner

it is overfit. add more training data, or add dropout layer, or reduce net layers.

8 días ago | 0

Answered

Can I extract the pretrained encoder part from 3D Unet to use it in classification?

you can try, but i think it would not make big sense as Unet is for regression while your taks is classification. to tranfer th...

Can I extract the pretrained encoder part from 3D Unet to use it in classification?

you can try, but i think it would not make big sense as Unet is for regression while your taks is classification. to tranfer th...

8 días ago | 0

| accepted

Answered

NARNET FOR BINARY CLASSIFICATION PREDICTION

you can refer the given demo for classification, in fact the given net in the demo can be applicative. the key is that you shou...

NARNET FOR BINARY CLASSIFICATION PREDICTION

you can refer the given demo for classification, in fact the given net in the demo can be applicative. the key is that you shou...

8 días ago | 0

| accepted

Question

why can imageInputLayer of 'deep network designer' app not be edited?

I want to edit the mean and std in imageInputLayer, but it is settled and can not be eidted, as follow: so, how to edit it di...

alrededor de 2 meses ago | 1 answer | 0

Answered

how can I use multiple input for Alexnet?

what do you mean 'multiple input '? if it is multiple pics, you can concetenate to be one (2 rgb pics can be formed to be 1 six...

how can I use multiple input for Alexnet?

what do you mean 'multiple input '? if it is multiple pics, you can concetenate to be one (2 rgb pics can be formed to be 1 six...

3 meses ago | 0

Answered

How to improve the accuracy of neural networks (feed forward network)

what is nftool ? is it in one matlab toolbox? why not directly use deep learning toolbox..

How to improve the accuracy of neural networks (feed forward network)

what is nftool ? is it in one matlab toolbox? why not directly use deep learning toolbox..

3 meses ago | 0

Solved

Interpolator

You have a two vectors, a and b. They are monotonic and the same length. Given a value, va, where va is between a(1) and a(end...

3 meses ago

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Indexed Probability Table

This question was inspired by a Stack Overflow question forwarded to me by Matt Simoneau. Given a vector x, make an indexed pro...

3 meses ago

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Clean the List of Names

Given a list of names in a cell array, remove any duplications that result from different capitalizations of the same string. So...

3 meses ago

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DNA N-Gram Distribution

Given a string s and a number n, find the most frequently occurring n-gram in the string, where the n-grams can begin at any poi...

3 meses ago

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Sums with Excluded Digits

Add all the integers from 1 to n in which the digit m does not appear. m will always be a single digit integer from 0 to 9. no...

3 meses ago

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Pascal's Triangle

Given an integer n >= 0, generate the length n+1 row vector representing the n-th row of <http://en.wikipedia.org/wiki/Pascals_t...

3 meses ago

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Counting Money

Add the numbers given in the cell array of strings. The strings represent amounts of money using this notation: $99,999.99. E...

3 meses ago

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Alphabetize by last name

Given a list of names in a cell array, sort the list by the last name. So if list = {'Barney Google','Snuffy Smith','Dagwood ...

3 meses ago

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Extract leading non-zero digit

<http://en.wikipedia.org/wiki/Benford%27s_law Benford's Law> states that the distribution of leading digits is not random. This...

3 meses ago

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Nearest Numbers

Given a row vector of numbers, find the indices of the two nearest numbers. Examples: [index1 index2] = nearestNumbers([2 5 3...

3 meses ago

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Remove all the consonants

Remove all the consonants in the given phrase. Example: Input s1 = 'Jack and Jill went up the hill'; Output s2 is 'a ...

3 meses ago

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Roll the Dice!

*Description* Return two random integers between 1 and 6, inclusive, to simulate rolling 2 dice. *Example* [x1,x2] =...

3 meses ago