vishaalkapoor commented on a change in pull request #13144: [MXNET-1203] Tutorial infogan URL: https://github.com/apache/incubator-mxnet/pull/13144#discussion_r231626839
########## File path: docs/tutorials/gluon/info_gan.md ########## @@ -0,0 +1,438 @@ + +# Image similarity search with InfoGAN + +This notebook shows how to implement an InfoGAN based on Gluon. InfoGAN is an extension of GANs, where the generator input is split in 2 parts: random noise and a latent code c (see [InfoGAN Paper](https://arxiv.org/pdf/1606.03657.pdf)). +The codes are made meaningful by maximizing the mutual information between code and generator output. InfoGAN learns a disentangled representation in a completely unsupervised manner. It can be used for many applications such as image similarity search. This notebook uses the DCGAN example from the [Straight Dope Book](https://gluon.mxnet.io/chapter14_generative-adversarial-networks/dcgan.html) and extends it to create an InfoGAN. + + +```python +from __future__ import print_function +from datetime import datetime Review comment: PEP8 doesn't really talk about order of 'from' imports vs 'imports' within the groupings, so I'll leave it to you, but alphabetization is still nicer than no alphabetization :) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
