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Runcong Kuang


Last seen: mer än ett år ago |  Active since 2022

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How to do activation quantization of EACH LAYER in lgraph or dlnetwork?
for activation of each layer in dlnetwork or lgraph, how to do quantization? My dlnetwork is just a piece of network, not a who...

nästan 2 år ago | 1 answer | 1

1

answer

Question


How to convert data from floating point to fixed point? Not function, only data.
I want to convert an array of single precision data into fixed point and I have proposed length of the data I want. How to conv...

nästan 2 år ago | 1 answer | 0

1

answer

Question


How to add breakpoints when I am pausing a running code
I add breakpoint in the debugging mode when pausing a running code. But it's grey. It gets ignored. Continue running the code w...

mer än 2 år ago | 1 answer | 0

1

answer

Question


mnrfit takes too long
It takes more than two weeks for a single run of mnrfit. It just reaches 43/100 iter/iterLim in 'nominalFit' after 1.5 weeks. ...

mer än 2 år ago | 1 answer | 0

1

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Question


minibatchqueue or arrayDatastore drops my data precision from double to single
I get XTrain from MNIST by processImagesMNIST and put it on GPU, so its type is gpuArray dlarray. then I use these code to make...

mer än 2 år ago | 1 answer | 0

1

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Question


Do matlab has build-in mnist dataset for CNN training? If I load it as dlarray, how do I train it with CNN?
This documentation shows the example to design CNN for digit image classification. Is the 'toolbox/nnet/nndemos/nndatasets/Digi...

mer än 2 år ago | 1 answer | 0

1

answer

Question


What's fid in "Training a Model from Scratch"?
For this DL example, What's the 'fid' in the first code block? rawImgDataTrain = uint8 (fread(fid, numImg * numRows * numCols,...

mer än 2 år ago | 2 answers | 0

2

answers

Question


processImagesMNIST doesn't give the right data format for trainNetwork
Loading mnist: According to the dataset for DL, I load MNIST by this: filenameImagesTrain = 'train-images-idx3-ubyte.gz'; f...

mer än 2 år ago | 1 answer | 0

1

answer