I published a kernel with description and implementation of VAE.
\n\nResources that helped me to understand how does it work: \n - https://www.coursera.org/learn/bayesian-methods-in-machine-learning\n - https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf\n - https://github.com/atinghosh/VAE-pytorch
", "messages": [ { "id": 564623, "postDate": "2019-06-29T18:02:13.420Z", "content": "I published a kernel with description and implementation of VAE.
\n\nResources that helped me to understand how does it work: \n - https://www.coursera.org/learn/bayesian-methods-in-machine-learning\n - https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf\n - https://github.com/atinghosh/VAE-pytorch
", "rawMarkdown": "I published a kernel with description and implementation of VAE. \n\nResources that helped me to understand how does it work: \n - https://www.coursera.org/learn/bayesian-methods-in-machine-learning\n - https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf\n - https://github.com/atinghosh/VAE-pytorch", "votes": 11 }, { "id": 565132, "postDate": "2019-06-30T13:34:05.743Z", "content": "thank you @speedwagon is great to have another generative method :)
", "rawMarkdown": "thank you @speedwagon is great to have another generative method :)", "votes": 1, "replies": [ { "id": 565174, "postDate": "2019-06-30T14:36:00.960Z", "content": "You are welcome! Now it is time to make it work, idk why it doesn't generate properly
", "rawMarkdown": "You are welcome! Now it is time to make it work, idk why it doesn't generate properly" }, { "id": 565203, "postDate": "2019-06-30T15:24:27.917Z", "content": "yeah, I checked the channel and NN... I don't see nothing wrong, despite images tend to the dark\nIf you can solve it, please post the solution :) I'll stay tuned
", "rawMarkdown": "yeah, I checked the channel and NN... I don't see nothing wrong, despite images tend to the dark\nIf you can solve it, please post the solution :) I'll stay tuned" } ] }, { "id": 566156, "postDate": "2019-07-01T21:07:35.867Z", "content": "Thanks. I've been playing with autoencoders myself. I posted a basic autoencoder here.
", "rawMarkdown": "Thanks. I've been playing with autoencoders myself. I posted a basic autoencoder [here][1]. \n\n[1]: https://www.kaggle.com/cdeotte/dog-autoencoder" }, { "id": 564631, "postDate": "2019-06-29T18:09:57.967Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 565132, "author_name": "Nanashi", "author_url": "", "post_date": "2019-06-30T13:34:05.743000", "content": "thank you @speedwagon is great to have another generative method :)
", "votes": 1, "replies": [ { "id": 565174, "author_name": "Vladislav Bakhteev", "author_url": "", "post_date": "2019-06-30T14:36:00.960000", "content": "You are welcome! Now it is time to make it work, idk why it doesn't generate properly
", "votes": 0, "replies": [] }, { "id": 565203, "author_name": "Nanashi", "author_url": "", "post_date": "2019-06-30T15:24:27.917000", "content": "yeah, I checked the channel and NN... I don't see nothing wrong, despite images tend to the dark\nIf you can solve it, please post the solution :) I'll stay tuned
", "votes": 0, "replies": [] } ] }, { "id": 566156, "author_name": "Chris Deotte", "author_url": "", "post_date": "2019-07-01T21:07:35.867000", "content": "Thanks. I've been playing with autoencoders myself. I posted a basic autoencoder here.
", "votes": 0, "replies": [] }, { "id": 564631, "author_name": "", "author_url": "", "post_date": "2019-06-29T18:09:57.967000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "564623": "I published a kernel with description and implementation of VAE. \n\nResources that helped me to understand how does it work: \n - https://www.coursera.org/learn/bayesian-methods-in-machine-learning\n - https://towardsdatascience.com/intuitively-understanding-variational-autoencoders-1bfe67eb5daf\n - https://github.com/atinghosh/VAE-pytorch", "565132": "thank you @speedwagon is great to have another generative method :)", "566156": "Thanks. I've been playing with autoencoders myself. I posted a basic autoencoder [here][1]. \n\n[1]: https://www.kaggle.com/cdeotte/dog-autoencoder", "564631": "" } }