Presentation: TensorFlow: Pushing the ML Boundaries

Track: Hardware Frontiers: Changes Affecting Software Developers Today

Location: Pacific LMNO

Duration: 2:55pm - 3:45pm

Day of week: Tuesday

Persona: General Software

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What You’ll Learn

  • Inspire audience with the latest astonishing advancements in DL, achieved by Google and partners by showcasing real examples
  • Show the need for simplification & scale, and what Google together with the community is doing to advance the field
  • Give devs a call-to-action to develop tools already available and what they can expect in the near future

Abstract

In this talk, you will see how Google uses Machine Learning to address problems that were not solvable just a year ago. We will look at some of the latest models we’ve developed and where the opportunities & challenges are, for example how we can automize the machine learning process. We will also describe latest advancements in TensorFlow to deal with model complexity and how developers can get start building complex models today. Finally, we will talk about the need for compute power & scale, using hardware accelerators like the TPU.

Speaker: Magnus Hyttsten

TensorFlow Developer Advocate @Google

Find Magnus Hyttsten at

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Tracks

  • Architectures You've Always Wondered About

    Architectural practices from the world's most well-known properties, featuring startups, massive scale, evolving architectures, and software tools used by nearly all of us.

  • Going Serverless

    Learn about the state of Serverless & how to successfully leverage it! Lessons learned in the track hit on security, scalability, IoT, and offer warnings to watch out for.

  • Microservices: Patterns and Practices

    Stories of success and failure building modern Microservices, including event sourcing, reactive, decomposition, & more.

  • DevOps: You Build It, You Run It

    Pushing DevOps beyond adoption into cultural change. Hear about designing resilience, managing alerting, CI/CD lessons, & security. Features lessons from open source, Linkedin, Netflix, Financial Times, & more. 

  • The Art of Chaos Engineering

    Failure is going to happen - Are you ready? Chaos engineering is an emerging discipline - What is the state of the art?

  • The Whole Engineer

    Success as an engineer is more than writing code. Hear inward looking thoughts on inclusion, attitude, leadership, remote working, and not becoming the brilliant jerk.

  • Evolving Java

    Java continues to evolve & change. Track covers Spring 5, async, Kotlin, serverless, the 6-month cadence plans, & AI/ML use cases.

  • Security: Attacking and Defending

    Offense and defensive security evolution that application developers should know about including SGX Enclaves, effects of AI, software exploitation techniques, & crowd defense

  • The Practice & Frontiers of AI

    Learn about machine learning in practice and on the horizon. Learn about ML at Quora, Uber's Michelangelo, ML workflow with Netflix Meson and topics on Bots, Conversational interfaces, automation, and deployment practices in the space.

  • 21st Century Languages

    Compile to Native, Microservices, Machine learning... tailor-made languages solving modern challenges, featuring use cases around Go, Rust, C#, and Elm.

  • Modern CS in the Real World

    Applied trends in Computer Science that are likely to affect Software Engineers today. Topics include category theory, crypto, CRDT's, logic-based automated reasoning, and more.

  • Stream Processing In The Modern Age

    Compelling applications of stream processing using Flink, Beam, Spark, Strymon & recent advances in the field, including Custom Windowing, Stateful Streaming, SQL over Streams.  

Conference for Professional Software Developers