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 Deep learning with TensorFlow to your personal schedule
9:00am Deep learning with TensorFlow Dana Mastropole (The Data Incubator)
Morgan
Add Natural language processing with deep learning to your personal schedule
9:00am Natural language processing with deep learning Delip Rao (R7 Speech Science)
Madison
Add Neural networks for time series analysis using Deeplearning4j to your personal schedule
9:00am Neural networks for time series analysis using Deeplearning4j Tom Hanlon (Skymind), Josh Patterson (Skymind), Susan Eraly (Skymind), Dave Kale (Skymind)
Green Room
Add Deep learning with Apache Spark and BigDL to your personal schedule
9:00am Deep learning with Apache Spark and BigDL Rich Ott (The Data Incubator)
Chelsea at Sheraton
Add AI for managers to your personal schedule
9:00am AI for managers Angie Ma (ASI)
12:30pm Lunch | Room: Nassau East/West
10:30am Morning Break | Room: TBD
3:10pm Afternoon Break | Room: TBD
9:00am-5:10pm (8h 10m)
Deep learning with TensorFlow
Dana Mastropole (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. Dana Mastropole 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, Dana covers several real-world deep learning applications, including machine vision, text processing, and generative networks.
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)
Neural networks for time series analysis using Deeplearning4j
Tom Hanlon (Skymind), Josh Patterson (Skymind), Susan Eraly (Skymind), Dave Kale (Skymind)
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? Josh Patterson, Susan Eraly, Dave Kale, and Tom Hanlon demonstrate 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
Rich Ott (The Data Incubator)
BigDL is a powerful tool for leveraging Hadoop and Spark clusters for deep learning. Rich Ott introduces you to BigDL’s capabilities through its Python interface, starting with the components of BigDL before moving on to implementing machine learning algorithms, with a focus on neural networks.
9:00am-5:10pm (8h 10m)
AI for managers
Angie Ma (ASI)
Angie Ma offers 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.
12:30pm-1:40pm (1h 10m)
Break: Lunch
10:30am-11:00am (30m)
Break: Morning Break
3:10pm-3:40pm (30m)
Break: Afternoon Break