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
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 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 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)
Nob Hill 1
Nob Hill 4/5
12:30pm Lunch | Room: Yosemite ABC
Imperial A
9:00am-5:00pm (8h) Computer Vision, Deep Learning tools
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) Computer Vision, Deep Learning tools
Deep learning with TensorFlow
Robert Schroll (The Data Incubator)
The TensorFlow library provides for the use of data flow graphs for numerical computations, with automatic parallelization across several CPUs or GPUs. This architecture makes it ideal for implementing neural networks and other machine learning algorithms. Robert Schroll offers an overview of the TensorFlow graph using its Python API.
9:00am-5:00pm (8h) Deep Learning tools, Text, Language, and Speech
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) Computer Vision, Deep Learning tools
Create, optimize, and deploy a deep learning solution using TensorFlow and Caffe
Ben Odom (Intel), Rudy Cazabon (Intel), Meghana Rao (Intel)
Ben Odom, Rudy Cazabon, and Meghana Rao teach you how to build, implement, and deploy a deep learning solution using Intel Optimized Caffe, TensorFlow, and the Intel AI DevCloud. You'll receive free hardware to work with during the training that is yours to keep.
9:00am-5:00pm (8h) AI in the Enterprise
AI and data science for managers
Michael Li (The Data Incubator), Zachary Glassman (The Data Incubator)
Michael Li and Zachary Glassman offer a nontechnical overview of AI and data science. You'll learn basic concepts and vocabulary and develop a framework that will allow you to effectively engage with technical experts and utilize their input and analysis for your business’s strategic priorities and decision making.
9:00am-5:00pm (8h) Deep Learning tools, Temporal data and time-series
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) Computer Vision
NVIDIA Deep Learning Institute: AI for computer vision and digital content creation
Instructors from the NVIDIA Deep Learning Institute (DLI) walk you through the fundamentals of deep learning, from training neural networks to using results to improve performance and capabilities. You'll then apply your newfound knowledge to digital content creation and game development, as you create digital asset with deep learning. No prior deep learning experience is required.
12:30pm-1:30pm (1h)
Break: Lunch
9:00am-5:00pm (8h) Sponsored, TensorFlow at AI
Serverless Machine Learning with TensorFlow on GCP Day (sponsored by Google Cloud)
An introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-ons labs, participants will learn machine learning (ML) and TensorFlow concepts, and develop skills in developing, evaluating, and productionizing ML models.