Deep Learning using R and NASA Datanauts

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#=== Talks

Speaker: Ash Pahwa

Title: Deep Learning using R and TensorFlow (Part 2)

Abstract:
Google released TensorFlow software in 2015 targeted for the Deep Learning applications. Two primary misconceptions about TensorFlow are as follows. First, it can only be used with Python and second, it can only be used for building deep learning applications

This talk will demystify these concepts. First, TensorFlow can also be used with R and any programming language. Second, TensorFlow’s main objective is to solve the mathematical problem (including differential equations) which contains multi-dimensional arrays (or tensors). Deep Learning Neural Networks is just another application of TensorFlow.

In this second part, neural networks optimization techniques will be discussed. The implementation of Gradient Descent and Adam (Adaptive Momentum Estimation) optimization techniques will be covered using R and TensorFlow.

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Speaker: Alyssa Columbus

Title: NASA Datanauts - How to Get Involved with NASA's Open Science

Abstract:
The NASA Datanauts (https://open.nasa.gov/explore/datanauts/) initiative is an international community of developers, data scientists, students, entrepreneurs, and artists looking to engage with NASA’s open data and find innovative new discoveries, processes, and products. Admission to the Datanauts program provides access to a vibrant, data problem-solving community and the opportunity to contribute to technical projects, take workshops, and build mentorships within NASA's data science team. Some of the topics covered include machine learning, natural language processing, web-based space mission visualizations, orbital dynamics, and more. As Datanauts, we share an ambition to contribute and grow while utilizing the diversity of everyone’s skillsets and perspectives. So whether you're an artist or a developer, a beginner or an expert, NASA has challenges and opportunities for everyone, and this talk will show you how to get involved.