Presented By O’Reilly and Intel AI
Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
 
Continental 1
Continental 2
Add Deep learning with TensorFlow to your personal schedule
9:00am Deep learning with TensorFlow Robert Schroll (The Data Incubator)
Continental 3
Continental 7
Add Create, Optimize, and Deploy a Deep Learning Solution using Tensorflow and Caffe to your personal schedule
9:00am Create, Optimize, and Deploy a Deep Learning Solution using Tensorflow and Caffe Ben Odom (Intel), Rudy Cazabon (Intel), Meghana Rao (Intel)
Continental 8
Add Natural language processing with deep learning to your personal schedule
9:00am Natural language processing with deep learning Delip Rao (R7 Speech Science)
Continental 9
Add AI and Data Science for Managers to your personal schedule
9:00am AI and Data Science for Managers Michael Li (The Data Incubator), Zachary Glassman (The Data Incubator)
12:30pm Lunch | Room: TBD
9:00am-5:00pm (8h)
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-5:00pm (8h)
Deep learning with TensorFlow
Robert Schroll (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, Dana covers several real-world deep learning applications, including machine vision, text processing, and generative networks.
9:00am-5:00pm (8h)
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-5:00pm (8h)
Create, Optimize, and Deploy a Deep Learning Solution using Tensorflow and Caffe
Ben Odom (Intel), Rudy Cazabon (Intel), Meghana Rao (Intel)
This hands-on training will leave attendees knowing how to build, implement and deploy a deep learning solution. Every registered attendee will receive free hardware to work with during the training. The hardware is yours to keep at the end of the event.
9:00am-5:00pm (8h)
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-5:00pm (8h)
AI and Data Science for Managers
Michael Li (The Data Incubator), Zachary Glassman (The Data Incubator)
In this course, we will be offering a non-technical overview of AI and data science. Though this course, you’ll pick up the language and develop a framework to be able to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making.
12:30pm-1:30pm (1h)
Break: Lunch