Welcome to Danbury AI's June 2018 Workshop! In this workshop we will use neural networks to produce models of four different datasets in order to provide a glimpse into the different ways neural networks can be used:
\n\nThe competition associated with this workshop is designed to help you learn more about applying neural networks to real-world data and we hope this gives you a platform to stimulate each other's adventure into the land of neural networks!
\n\nWhile this workshop covers four different notebooks, the competition is only for the Street View House Numbers data set from Stanford. Please see the competition overview to learn more about this dataset.
\n\nDue to a problem with Kaggle, you cannot import this competition data into your kernel directly. Although annoying, you can still use kernels in this competition by importing the dataset uploaded directly, listed here: https://www.kaggle.com/DanburyAI/danbury-ai-june-2018
\n\nFork this notebook to have an environment with the data accessible.
", "messages": [ { "id": 341978, "postDate": "2018-06-12T15:58:42.667Z", "content": "Welcome to Danbury AI's June 2018 Workshop! In this workshop we will use neural networks to produce models of four different datasets in order to provide a glimpse into the different ways neural networks can be used:
\n\nThe competition associated with this workshop is designed to help you learn more about applying neural networks to real-world data and we hope this gives you a platform to stimulate each other's adventure into the land of neural networks!
\n\nWhile this workshop covers four different notebooks, the competition is only for the Street View House Numbers data set from Stanford. Please see the competition overview to learn more about this dataset.
\n\nDue to a problem with Kaggle, you cannot import this competition data into your kernel directly. Although annoying, you can still use kernels in this competition by importing the dataset uploaded directly, listed here: https://www.kaggle.com/DanburyAI/danbury-ai-june-2018
\n\nFork this notebook to have an environment with the data accessible.
", "rawMarkdown": "Hola!\n-----\n\nWelcome to Danbury AI's June 2018 Workshop! In this workshop we will use neural networks to produce models of four different datasets in order to provide a glimpse into the different ways neural networks can be used:\n\n- [The Titanic Disaster][1]: How to use a Feed-Forward Neural Network to predict the survivors of the Titanic based on categorical ( gender, ticket class, etc ) and quantitative ( age, ticket price, etc) features.\n- [MNIST][2]: How to use a Feed-Forward Neural Network to classify well preprocessed images of hand written digits.\n- [Street View House Numbers][3]: How to use a Convolutional Feed-Forward Neural Network to classify noisy real world images of google street view house numbers.\n- [Jigsaw Toxic Comment Classification Challenge][4]: How to use a Long Short-Term Memory Network to classify wikipedia comments.\n\nThe competition associated with this workshop is designed to help you learn more about applying neural networks to real-world data and we hope this gives you a platform to stimulate each other's adventure into the land of neural networks! \n\nAbout the Competition Data\n--------------------------\nWhile this workshop covers four different notebooks, the competition is only for the Street View House Numbers data set from Stanford. Please see the competition overview to learn more about this dataset. \n\nDue to a problem with Kaggle, you cannot import this competition data into your kernel directly. Although annoying, you can still use kernels in this competition by importing the dataset uploaded directly, listed here: https://www.kaggle.com/DanburyAI/danbury-ai-june-2018\n\n[Fork this notebook to have an environment with the data accessible.][5] \n\n\n [1]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-2\n [2]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-3\n [3]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-4\n [4]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-5\n [5]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-4" } ], "comments": [], "raw_markdown_by_id": { "341978": "Hola!\n-----\n\nWelcome to Danbury AI's June 2018 Workshop! In this workshop we will use neural networks to produce models of four different datasets in order to provide a glimpse into the different ways neural networks can be used:\n\n- [The Titanic Disaster][1]: How to use a Feed-Forward Neural Network to predict the survivors of the Titanic based on categorical ( gender, ticket class, etc ) and quantitative ( age, ticket price, etc) features.\n- [MNIST][2]: How to use a Feed-Forward Neural Network to classify well preprocessed images of hand written digits.\n- [Street View House Numbers][3]: How to use a Convolutional Feed-Forward Neural Network to classify noisy real world images of google street view house numbers.\n- [Jigsaw Toxic Comment Classification Challenge][4]: How to use a Long Short-Term Memory Network to classify wikipedia comments.\n\nThe competition associated with this workshop is designed to help you learn more about applying neural networks to real-world data and we hope this gives you a platform to stimulate each other's adventure into the land of neural networks! \n\nAbout the Competition Data\n--------------------------\nWhile this workshop covers four different notebooks, the competition is only for the Street View House Numbers data set from Stanford. Please see the competition overview to learn more about this dataset. \n\nDue to a problem with Kaggle, you cannot import this competition data into your kernel directly. Although annoying, you can still use kernels in this competition by importing the dataset uploaded directly, listed here: https://www.kaggle.com/DanburyAI/danbury-ai-june-2018\n\n[Fork this notebook to have an environment with the data accessible.][5] \n\n\n [1]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-2\n [2]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-3\n [3]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-4\n [4]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-5\n [5]: https://www.kaggle.com/andrewrib/dai-june-2018-workshop-notebook-4" } }