june, 2016

1jun6:30 pm- 8:30 pmParameters required for building a strong AI system as Information Assistant using arya.ai modules.6:30 pm - 8:30 pm BHive Workspace Koramangala

Event Details

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Abstract: Using various module in Arya.ai, developers can develop information assistants upon the trained context. The modules in arya.ai can take inputs either in JSON or unstructured data like Books/Documents etc. The performance of the DL system depends various key inputs parameters like quantum and quality of training data. In this meetup, we will discuss about the methods & ways of augmenting the training data sets and effects of these parameters on the system. And as a conclusion, we will discuss about the best methods of building a reliable AI system as Information Assistant using arya.ai.
Speaker: Chandrakant is a Research scientist in arya.ai and did his maters in Computer Vision Center (CVC), Autonomous University of Barcelona in the field of Probabilistic Graphical models. At Arya.ai, he works as a Research Scientist with key focus on Deep Learning and Computer Vision. He worked on multiple Deep Learning problems including Action Classification in Videos, Hand Writing recognition & Authentication etc.
About arya.ai:
Arya.ai is a deep learning platform for developers and enterprises. Arya.ai enables developers to build or customize deep neural nets and deploy to production right away in Arya.ai, developers can also use the modules and build multi-functional AI systems. The platform offers multiple modules in Language, Text, Vision and Reasoning.

Time

(Wednesday) 6:30 pm - 8:30 pm

Location

BHive Workspace Koramangala

#269, 18th D Main, 6th Block, Koramangala, Karnataka 560095, Bangalore - India. Landmark: Two roads behind Bethany High School / Koramangala Police Station Bangalore