October 28–31, 2019

Tutorials

These expert-led presentations on Tuesday, October 29 give you a chance to dive deep into the subject matter. Please note: to attend tutorials, you must register for a Gold or Silver pass; does not include access to training courses on Monday or Tuesday.

Learn more about a free 1-day tutorial, Zero to ML Hero with TensorFlow 2.0, available to Bronze pass and Learning pass holders.

Tuesday, October 29

Add to your personal schedule
9:00am12:30pm
Location: Grand Ballroom H
Leonardo Apolonio (Clarabridge)
What is BERT? How does one use BERT to solve problems? Google Colab, Tensorflow, Kubernetes on Google Cloud Read more.
Add to your personal schedule
9:00am12:30pm
Location: Grand Ballroom A/B
Sandeep Gupta (Google), Brijesh Krishnaswami (Google)
Hands on tutorial to learn building and deploying ML models using JavaScript using official documentation, examples, and codelabs from the TensorFlow.js team Read more.
Add to your personal schedule
9:00am12:30pm
Location: Grand Ballroom C/D
Robert Crowe (Google)
Learn what’s involved in creating a production ML pipeline, and walk through working code with experts from Google. Read more.
Add to your personal schedule
9:00am5:00pm
Location: Great American Ballroom J/K
Laurence Moroney (Google)
This workshop will take you from a programmer’s perspective, through the basics of Machine Learning, all the way up to building complex computer vision scenarios using Convolutional Neural Networks, and natural language processing using recurrent neural networks. Read more.
Add to your personal schedule
9:00am12:30pm
Location: Grand Ballroom E
Tim Davis (Google)
Introduces TensorFlow Lite to users and takes them through the conversion, performance and optimization path utilizing Android & iOS applications. Read more.
Add to your personal schedule
1:30pm5:00pm
Location: Grand Ballroom C/D
This is a tutorial that demostrates how to automate hyperparameter tuning for a given data set using Katib/Kubeflow Read more.
Add to your personal schedule
1:30pm5:00pm
Location: Grand Ballroom H
Martin Gorner (Google)
Martin Gorner leads a hands-on introduction to recurrent neural networks and TensorFlow. Join in to discover what makes RNNs so powerful for time series analysis. Read more.
Add to your personal schedule
1:30pm5:00pm
Location: Grand Ballroom A/B
Mars Geldard (University of Tasmania), Tim Nugent (lonely.coffee), Paris Buttfield-Addison (Secret Lab)
Isn't Swift just for app developers? No! Swift for TensorFlow provides the power of TensorFlow with all the advantages of Python (and complete access to Python libraries, as needed) and all the advantages of Swift, the safe, fast, incredibly capable open source programming language; Swift for TensorFlow is the perfect way to learn both deep learning and Swift. Read more.
Add to your personal schedule
1:30pm5:00pm
Location: Grand Ballroom G
Jason Mancuso (Dropout Labs), Yann Dupis (Dropout Labs)
Build and serve privacy-preserving machine learning models using TF Encrypted and the TensorFlow ecosystem. Read more.
Add to your personal schedule
1:30pm5:00pm
Location: Grand Ballroom E
Maggie Zhang (NVIDIA), Nathan Luehr (NVIDIA), Josh Romero (NVIDIA)
We share software components from NVIDIA’s software stack to get the best out of your end to end AI applications on modern NVIDIA GPUs. In addition we share features and tips tricks to optimize your workloads right from data loading, processing, training, inference and then deployment. Read more.

Contact us

confreg@oreilly.com

For conference registration information and customer service

partners@oreilly.com

For more information on community discounts and trade opportunities with O’Reilly conferences

sponsorships@oreilly.com

For information on exhibiting or sponsoring a conference

Contact list

View a complete list of TensorFlow World Conference contacts