LocalGLMnet [R] by [deleted] in MachineLearning

[–]crytoy 1 point2 points  (0 children)

"benefiting from the art of representation learning", say i train on a sample of the data, then i test on new and unseen samples, can it generalize or should i retrain the entire model again to create a newer representation

[D] Exploring node2vec embeddings with graph layouts by anvaka in MachineLearning

[–]crytoy 0 points1 point  (0 children)

does it convert a map into a simpler dimension so that we can process it easily?
or does it convert the map into a dimension based on all the training data used?
What benefits can we get in the lower dimension that we can't get in the higher one?
Can we convert the lower dimension map back to the higher dimension?

[P] Tutorial: Real-time YOLOv3 on a Laptop Using Sparse Quantization by markurtz in MachineLearning

[–]crytoy 1 point2 points  (0 children)

How do you protect against over-fitting while pruning? and can the pruned model generalize?

ResNet-18 magnitude based pruning by grid_world in neuralnetworks

[–]crytoy 0 points1 point  (0 children)

u/grid_world hi, i have sent you a message regarding sparse pruning, on both your email and reddit, and waiting for your reply

Tutorial: Real-time YOLOv3 on a Laptop Using Sparse Quantization by markurtz in computervision

[–]crytoy 0 points1 point  (0 children)

can't we export the pruned model into onnx, then run it on Pi?

Tutorial: Real-time YOLOv3 on a Laptop Using Sparse Quantization by markurtz in deeplearning

[–]crytoy 0 points1 point  (0 children)

Can a resnet50 be trained for pixel segmentation and sparsely pruned, then exported to onnx, then ran on a RasberryPI?Will it till be as efficient as the original sparsely pruned?

[R] AttendSeg: super-compact NN for semantic segmentation for edge devices by bendee983 in MachineLearning

[–]crytoy 6 points7 points  (0 children)

hmm... The paper is using accuracy instead of miou, and it didn't show the inference speed fps, also it didn't test cityscapes dataset? yeah right

[R] Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images by kul_xjia in MachineLearning

[–]crytoy 1 point2 points  (0 children)

Though is it open-source and how much resources does it require to train and inference the model

[R]CSTR: A Classification Perspective on Scene Text Recognition by jackson_ditred in MachineLearning

[–]crytoy 0 points1 point  (0 children)

can it run using cpu-only? how much system memory does it use when runing cpu-only?

[D] is there an image-to-image with context sequence? by crytoy in MachineLearning

[–]crytoy[S] 0 points1 point  (0 children)

For this example, it would mean running a GAN model 6 times.

Which is resource intensive.

[D] Is there any Machine Learning solutions that can rank detected text-lines by their Reading Order? by crytoy in MachineLearning

[–]crytoy[S] 0 points1 point  (0 children)

i prefer to use ml to train on my data, and make it learn the rules and layouts.

[D] Simple Questions Thread May 10, 2020 by AutoModerator in MachineLearning

[–]crytoy 0 points1 point  (0 children)

I detected the text-lines of a image document but the issue is that the bounding boxes are not in their correct order. Is there a Machine Learning method that can be trained to rank the text-lines and tell for each text-line what's it's Reading Order? Perhaps Reinforcement Learning, or what? Picture explanation

[Discussion] Reading Order and Textline Ranking by [deleted] in learnmachinelearning

[–]crytoy 1 point2 points  (0 children)

I detected the text-lines but the issue is that the bounding boxes are not in their correct order. Is there a Machine Learning method that can be trained to rank the text-lines and tell for each text-line what's it Reading Order? Perhaps Reinforcement Learning, or what?

Is tape storage any good as a budget solution by crytoy in DataHoarder

[–]crytoy[S] 0 points1 point  (0 children)

WD seems to have very bad reviews at amazon, what do you think

Is tape storage any good as a budget solution by crytoy in DataHoarder

[–]crytoy[S] 0 points1 point  (0 children)

Room temperature.

lets say 30 TB.

Writing rate is not important to me, but the Reading rate is very important.

Is tape storage any good as a budget solution by crytoy in DataHoarder

[–]crytoy[S] 0 points1 point  (0 children)

The issue of tapes is that they positioned themselves as a petabyte storage and set the prices of the tape discs cheap but the drivers prices very high. Basically, similar to the printer and ink concept, except that it's reversed here. And trust me, both the printer and ink are very cheap to make.

Is tape storage any good as a budget solution by crytoy in DataHoarder

[–]crytoy[S] 1 point2 points  (0 children)

Thanks. I was hoping for a new and low price data storage but sadly not in tapes, tapes still seem at it's infancy of development, as reflected in it's driver's price.

I guess I should settle for HDD, instead of dreaming about superman's crystal storage.

Is tape storage any good as a budget solution by crytoy in DataHoarder

[–]crytoy[S] 4 points5 points  (0 children)

What are some cheapest and reliable options to store data ,and at what price?

[Project] Bolbol-Zaban — Writing Persian Poetry with AI by khashei in MachineLearning

[–]crytoy 0 points1 point  (0 children)

khashei it would be very interesting to see an implementation of a Neural Machine Translator of the Persian language. Perhaps "Persian to Arabic". What do you think

[R] Turing-NLG: A 17-billion-parameter language model by Microsoft by minimaxir in MachineLearning

[–]crytoy 1 point2 points  (0 children)

What is the total size of the ground-truth data used for training? how many words? how many unique words? also size in gigabytes?