multi channel feature classification using deep feed forward neural network on tensorflow [closed]

Question

Can any one suggest a dataset that contains multi channel/multi dimensional feature values that can be classified using a deep feed forward neural network?

Please ask me if the question is not clear enough.

Answer 1

You have not specified which deep net you are using. You can use any data set which is of the right format in TensorFlow. If you are using convolutional networks, You may need data which locality is important. In this case:

• MNIST data set
• ImageNet data set

may help you. If you are doing other tasks I highly recommend you taking a look at this question which is so much popular and has great answers.

If I want to quote, I quote the following answer. Network Repository an interactive data repository with over 600+ networks in 20+ collections; from large-scale social networks, web graphs, biological networks, communication and technological networks my help you.

Data Sets

• Academic Torrents
• Quora
• hadoopilluminated.com
• data.gov
• Quandl
• freebase.com
• usgovxml.com
• enigma.com
• datahub.io
• aws.amazon.com/datasets
• databib.org
• datacite.org
• quandl.com
• figshare.com
• GeoLite Legacy Downloadable Databases
• Quora's Big Datasets Answer
• Public Big Data Sets
• Houston Data Portal
• Kaggle Data Sources
• A Deep Catalog of Human Genetic Variation
• A community-curated database of well-known people, places, and things
• Google Public Data
• World Bank Data
• NYC Taxi data
• Open Data Philly Connecting people with data for Philadelphia
• Network Repository An interactive data repository with over 600+ networks in 20+ collections; from large-scale social networks, web graphs, biological networks, communication and technological networks, etc.
• A list of useful sources A blog post includes many data set databases

Data Sets From awesome-datascience