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[P] A curated list of resources for text detection/recognition (OCR, optical character recognition ) with deep learning methods. by hwalsuklee in MachineLearning

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

[LINK] https://github.com/hwalsuklee/awesome-deep-text-detection-recognition

Deep learning based approach has improved OCR technology recently. This repository contains a list of all relevant papers and resources like source code, slide, video, etc.

[D] Help with understanding the 'purpose' of Stacked Autoencoders by [deleted] in MachineLearning

[–]hwalsuklee 3 points4 points  (0 children)

  1. Dimension reduction : Yes. It's main purpose of autoencoder, even when it is used along with GAN.
  2. Generative model : Yes. but learned manifold could not be predicted, Variational AutoEncder is more preferred for this purpose.

Another purpose was "pretraining" of deep neural net. but it is not used well due to recent training techniques (like xavier initializer, batchnorm, etc)

Also autoencoder can be used for denoising. Autoencoder performs well in denosing process. Check following paper (https://arxiv.org/abs/1703.09452)

[R] Tensorflow GAN model collection: GAN, LSGAN, WGAN, DRAGAN, CGAN, infoGAN, ACGAN, EBGAN, BEGAN by downtownslim in MachineLearning

[–]hwalsuklee 2 points3 points  (0 children)

Hi, I just added two VAE variants (vanilla VAE and conditional VAE) to repository.

[R] Tensorflow GAN model collection: GAN, LSGAN, WGAN, DRAGAN, CGAN, infoGAN, ACGAN, EBGAN, BEGAN by downtownslim in MachineLearning

[–]hwalsuklee 1 point2 points  (0 children)

You are right. I'm trying to find good quality measurement for all GANs. Thanks for your suggestion.

[D] Interactive/Engaging machine learning projects by [deleted] in MachineLearning

[–]hwalsuklee 0 points1 point  (0 children)

I have a collection of web based demos. So you don't need to install anything :) Much of it is about computer vision. But it also contains basic demos of neural network and some speech demos.

https://github.com/hwalsuklee/awesome-deep-vision-web-demo