When i started working on this competition, the knowledge of GANS was very limited. But Gradually with all the help and guidance provided by the Experts, I feel more confident in applying Deep Neural networks.
\n\nWould like to thank like Chris (@cdeotte) for his valuable contribution, I personally learnt a lot from your discussions and kernels.
\n\nAll the best to everyone. May the best GAN win!
", "messages": [ { "id": "599414", "postDate": "08/14/2019 23:50:38", "content": "When i started working on this competition, the knowledge of GANS was very limited. But Gradually with all the help and guidance provided by the Experts, I feel more confident in applying Deep Neural networks.
\n\nWould like to thank like Chris (@cdeotte) for his valuable contribution, I personally learnt a lot from your discussions and kernels.
\n\nAll the best to everyone. May the best GAN win!
", "rawMarkdown": "When i started working on this competition, the knowledge of GANS was very limited. But Gradually with all the help and guidance provided by the Experts, I feel more confident in applying Deep Neural networks.\n\nWould like to thank like Chris (@cdeotte) for his valuable contribution, I personally learnt a lot from your discussions and kernels.\n\nAll the best to everyone. May the best GAN win!", "votes": null }, { "id": "599435", "postDate": "08/15/2019 00:45:36", "content": "Same here!!
", "rawMarkdown": "Same here!!", "votes": null }, { "id": "599603", "postDate": "08/15/2019 07:07:11", "content": "eeeyy and what about me? hahaha I'm kidding. As a competition was a disaster (if we look at the organization) but I really enjoyed the topic :)
", "rawMarkdown": "eeeyy and what about me? hahaha I'm kidding. As a competition was a disaster (if we look at the organization) but I really enjoyed the topic :)", "votes": null }, { "id": "599811", "postDate": "08/15/2019 11:25:11", "content": "Sorry for missing you out. :) Thanks for your contribution as well
", "rawMarkdown": "Sorry for missing you out. :) Thanks for your contribution as well", "votes": null }, { "id": "600161", "postDate": "08/15/2019 18:12:17", "content": "Since you mention you learnt from the discussions and kernels of the competition. Where are they available to be seen? If it's possible, of course. I'd appreciate to read.
", "rawMarkdown": "Since you mention you learnt from the discussions and kernels of the competition. Where are they available to be seen? If it's possible, of course. I'd appreciate to read.", "votes": null }, { "id": "600165", "postDate": "08/15/2019 18:25:10", "content": "Here are some awesome discussions to check
\n\nThere are plenty of other discussions which were useful, but that will depend on what exactly you are looking for. For some reason i find discussions more useful than kernels.
", "rawMarkdown": "Here are some awesome discussions to check\n\n1. https://www.kaggle.com/marcogorelli/criskiev-s-distances-more-estimators-groupkfold?scriptVersionId=18843561\n2. https://www.kaggle.com/c/generative-dog-images/discussion/102155#latest-599429\n3. https://www.kaggle.com/c/generative-dog-images/discussion/99485#latest-597003\n4. https://www.kaggle.com/c/generative-dog-images/discussion/97809#latest-591866\n5. https://www.kaggle.com/c/generative-dog-images/discussion/97792#latest-564177\n\nThere are plenty of other discussions which were useful, but that will depend on what exactly you are looking for. For some reason i find discussions more useful than kernels.", "votes": null }, { "id": "600290", "postDate": "08/15/2019 23:14:15", "content": "Ashish thank you so much for your kindness. I'm still very begginer so I'm not looking for something specific since everything is so new. I'll copy the paths. Thank you.
", "rawMarkdown": "Ashish thank you so much for your kindness. I'm still very begginer so I'm not looking for something specific since everything is so new. I'll copy the paths. Thank you.", "votes": null } ], "comments": [ { "id": 599435, "author_name": "jtaglione", "author_url": "", "post_date": "08/15/2019 00:45:36", "content": "Same here!!
", "votes": null, "replies": [] }, { "id": 599603, "author_name": "jesucristo", "author_url": "", "post_date": "08/15/2019 07:07:11", "content": "eeeyy and what about me? hahaha I'm kidding. As a competition was a disaster (if we look at the organization) but I really enjoyed the topic :)
", "votes": null, "replies": [ { "id": 599811, "author_name": "roydatascience", "author_url": "", "post_date": "08/15/2019 11:25:11", "content": "Sorry for missing you out. :) Thanks for your contribution as well
", "votes": null, "replies": [] } ] }, { "id": 600161, "author_name": "mpwolke", "author_url": "", "post_date": "08/15/2019 18:12:17", "content": "Since you mention you learnt from the discussions and kernels of the competition. Where are they available to be seen? If it's possible, of course. I'd appreciate to read.
", "votes": null, "replies": [ { "id": 600165, "author_name": "roydatascience", "author_url": "", "post_date": "08/15/2019 18:25:10", "content": "Here are some awesome discussions to check
\n\nThere are plenty of other discussions which were useful, but that will depend on what exactly you are looking for. For some reason i find discussions more useful than kernels.
", "votes": null, "replies": [] }, { "id": 600290, "author_name": "mpwolke", "author_url": "", "post_date": "08/15/2019 23:14:15", "content": "Ashish thank you so much for your kindness. I'm still very begginer so I'm not looking for something specific since everything is so new. I'll copy the paths. Thank you.
", "votes": null, "replies": [] } ] } ], "raw_markdown_by_id": { "599414": "When i started working on this competition, the knowledge of GANS was very limited. But Gradually with all the help and guidance provided by the Experts, I feel more confident in applying Deep Neural networks.\n\nWould like to thank like Chris (@cdeotte) for his valuable contribution, I personally learnt a lot from your discussions and kernels.\n\nAll the best to everyone. May the best GAN win!", "599435": "Same here!!", "599603": "eeeyy and what about me? hahaha I'm kidding. As a competition was a disaster (if we look at the organization) but I really enjoyed the topic :)", "599811": "Sorry for missing you out. :) Thanks for your contribution as well", "600161": "Since you mention you learnt from the discussions and kernels of the competition. Where are they available to be seen? If it's possible, of course. I'd appreciate to read.", "600165": "Here are some awesome discussions to check\n\n1. https://www.kaggle.com/marcogorelli/criskiev-s-distances-more-estimators-groupkfold?scriptVersionId=18843561\n2. https://www.kaggle.com/c/generative-dog-images/discussion/102155#latest-599429\n3. https://www.kaggle.com/c/generative-dog-images/discussion/99485#latest-597003\n4. https://www.kaggle.com/c/generative-dog-images/discussion/97809#latest-591866\n5. https://www.kaggle.com/c/generative-dog-images/discussion/97792#latest-564177\n\nThere are plenty of other discussions which were useful, but that will depend on what exactly you are looking for. For some reason i find discussions more useful than kernels.", "600290": "Ashish thank you so much for your kindness. I'm still very begginer so I'm not looking for something specific since everything is so new. I'll copy the paths. Thank you." }, "source": "meta" }