Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
 
Clinton
Add Natural language processing with deep learning to your personal schedule
9:00am Natural language processing with deep learning Delip Rao (R7 Speech Science)
Morgan
Add Deep learning with TensorFlow to your personal schedule
9:00am Deep learning with TensorFlow Dylan Bargteil (The Data Incubator)
Madison
Chelsea at Sheraton
Sugar Hill at Sheraton
Add AI for managers to your personal schedule
9:00am AI for managers Myles Kirby (ASI), Richard Sargeant (ASI)
Columbus Circle at Sheraton
12:30pm Lunch | Room: Nassau East/West
10:30am Morning Break | Room: 3rd Floor Promenade
3:10pm Afternoon Break | Room: 3rd Floor Promenade
9:00am-5:10pm (8h 10m)
Natural language processing with deep learning
Delip Rao (R7 Speech Science)
Delip Rao explores natural language processing with deep learning, walking you through neural network architectures and NLP tasks and teaching you how to apply these architectures for those tasks.
9:00am-5:10pm (8h 10m)
Deep learning with TensorFlow
Dylan Bargteil (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. Dylan Bargteil offers an overview of the TensorFlow graph using its Python API. You'll start with simple machine learning algorithms and move on to implementing neural networks. Along the way, Dylan covers several real-world deep learning applications, including machine vision, text processing, and generative networks.
9:00am-5:10pm (8h 10m)
Neural networks for time series analysis using Deeplearning4j
Tom Hanlon (Functional Media)
Recurrent neural networks have proven to be very effective at analyzing time series or sequential data, so how can you apply these benefits to your use case? Tom Hanlon demonstrates how to use Deeplearning4j to build recurrent neural networks for time series data.
9:00am-5:10pm (8h 10m)
Deep learning with Apache Spark and BigDL, with Keras and TensorFlow support
Rich Ott (The Data Incubator)
BigDL is a powerful tool for leveraging Hadoop and Spark clusters for deep learning. Rich Ott offers an overview of BigDL’s capabilities through its Python interface, exploring BigDL's components and explaining how to use it to implement machine learning algorithms. You'll use your newfound knowledge to build algorithms that make predictions using real-world datasets.
9:00am-5:10pm (8h 10m)
AI for managers
Myles Kirby (ASI), Richard Sargeant (ASI)
Richard Sargeant and Myles Kirby offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization.
9:00am-5:10pm (8h 10m)
NVIDIA Deep Learning Institute: Computer vision and finance training
Onur Yilmaz (NVIDIA)
Onur Yilmaz walks you through the fundamentals of deep learning—training neural networks and using results to improve performance and capabilities. Once you’ve learned the basics, you'll apply deep learning to finance to make predictions and exploit arbitrage.
12:30pm-1:40pm (1h 10m)
Break: Lunch
10:30am-11:00am (30m)
Break: Morning Break
3:10pm-3:40pm (30m)
Break: Afternoon Break