Deep Learning Guides, Tutorials, Research, and Use-Cases

Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015

Conferences Deep Learning Modeling NLP/Text Analytics ODSC East 2015|Speaker Slidesposted by Open Data Science June 3, 2015

Recurrent Neural Networks for Text Analysis from odsc Recurrent Neural Networks hold great promise as general sequence learning algorithms. As such, they are a very promising tool for text analysis. However, outside of very specific use cases such as handwriting recognition and recently, machine translation, they... Read more

Scalable Data Science and Deep Learning with H2O – Arno Candel ODSC Boston 2015

Conferences Deep Learning Modeling Tools & Languages Workflow ODSC East 2015|Speaker Slidesposted by Open Data Science June 2, 2015

Scalable Data Science and Deep Learning with H2O from odsc The era of Big Data has passed, and the era of sensory overload – that is, the proliferation of sensor data – is upon us. The challenge today is how to create the next generation of... Read more

DIY Deep Learning with Caffe Workshop – Kate Saenko ODSC Boston 2015

Conferences Deep Learning Modeling Tools Tools & Languages ODSC East 2015|Speaker Slidesposted by Open Data Science June 2, 2015

DIY Deep Learning with Caffe Workshop from odsc Caffe (Convolutional Architecture for Fast Feature Embedding) is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Caffe’s expressive architecture... Read more

Recurrent Neural Networks for Text Analysis – Alec Radford ODSC Boston 2015

Scalable Data Science and Deep Learning with H2O – Arno Candel ODSC Boston 2015

DIY Deep Learning with Caffe Workshop – Kate Saenko ODSC Boston 2015

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