Presented By O’Reilly and Intel Nervana
Put AI to work
September 17-18, 2017: Training
September 18-20, 2017: Tutorials & Conference
San Francisco, CA
 
Franciscan A
Add Deep learning with TensorFlow to your personal schedule
9:00am SOLD OUT Deep learning with TensorFlow Robert Schroll (The Data Incubator)
Franciscan B
Add NVIDIA Deep Learning Institute bootcamp to your personal schedule
9:00am NVIDIA Deep Learning Institute bootcamp Mike Mendelson (NVIDIA)
Franciscan C
Add Neural networks for time series analysis using Deeplearning4j to your personal schedule
9:00am Neural networks for time series analysis using Deeplearning4j Josh Patterson (Skymind), Susan Eraly (Skymind), Dave Kale (Skymind), Tom Hanlon (Skymind)
Franciscan D
Add Natural language processing with deep learning to your personal schedule
9:00am SOLD OUT Natural language processing with deep learning Delip Rao (Joostware)
12:30pm Lunch | Room: Imperial Ballroom
10:30am Morning Break | Room: Franciscan Foyer
3:00pm Afternoon Break | Room: Franciscan Foyer
9:00am-5:00pm (8h)
Deep learning with TensorFlow
Robert Schroll (The Data Incubator)
Robert Schroll demonstrates TensorFlow's deep learning capabilities through its Python interface as he walks you through building machine learning algorithms piece by piece and implementing neural networks using TFLearn. Along the way, you'll explore several real-world deep learning applications, including machine vision, text processing, and generative networks.
9:00am-5:00pm (8h) Deep learning
NVIDIA Deep Learning Institute bootcamp
Mike Mendelson (NVIDIA)
NVIDIA Deep Learning Institute-certified instructor Mike Mendelson walks you through solving the most challenging problems with deep learning. You'll start with deep learning basic concepts and quickly move to taking on real-word problems using deep learning.
9:00am-5:00pm (8h)
Neural networks for time series analysis using Deeplearning4j
Josh Patterson (Skymind), Susan Eraly (Skymind), Dave Kale (Skymind), Tom Hanlon (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-5:00pm (8h)
Natural language processing with deep learning
Delip Rao (Joostware)
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.
12:30pm-1:30pm (1h)
Break: Lunch
10:30am-11:00am (30m)
Break: Morning Break
3:00pm-3:30pm (30m)
Break: Afternoon Break