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Presentation: Recent Deep Learning Advancements, Revolution Far from Over!

Track: Deep Learning Applications & Practices

Location: Cyril Magnin I

Duration: 9:20am - 10:10am

Day of week: Wednesday

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Abstract

It started with Backpropagation, convolutional neural networks and RMSprop but these are only the first wave of innovations that got deep learning started. Some recent advancements include Population Based Training (PBT), Neuroevolution and ML Managed Services. We will discuss how deep learning research is becoming increasingly automated, more computationally efficient and serverless.

You will learn tips on how to automatically search the best deepnet topology for your task, scale up your machine learning experiments to run on thousands of nodes and to do hyperparameter optimization like pro!

Speaker: Arshak Navruzyan

Founder @fellowshipai

Arshak Navruzyan is a machine learning focused technology leader. He founded Fellowship.AI applied machine learning fellowship program and is the Chief Technology Officer at Sentient Technologies. He has delivered AI solutions for multi-billion dollar quantitative hedge funds, numerous venture funded startups and some of the largest telecoms in the world. Arshak has been in technology leadership roles at Argyle Data, Alpine Data Labs, Endeca/Oracle.

Find Arshak Navruzyan at

2019 Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.