Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
 
Madison
Add Deep learning with TensorFlow to your personal schedule
9:00am Deep learning with TensorFlow Dana Mastropole (The Data Incubator)
Bryant
Add NVIDIA Deep Learning Institute bootcamp to your personal schedule
9:00am NVIDIA Deep Learning Institute bootcamp Charles Killam (NVIDIA)
Clinton
Add Natural language processing with deep learning to your personal schedule
9:00am Natural language processing with deep learning Delip Rao (Joostware)
Gibson
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), Tom Hanlon (Skymind)
12:30pm Lunch | Room: Rhinelander South
10:30am Morning Break | Room: Training foyer
3:00pm Afternoon Break | Room: Training foyer
9:00am-5:00pm (8h) Deep Learning
Deep learning with TensorFlow
Dana Mastropole (The Data Incubator)
Dana Mastropole demonstrates TensorFlow's deep learning capabilities through its Python interface as she 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
Charles Killam (NVIDIA)
NVIDIA Deep Learning Institute-certified instructor Charlie Killam 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) Deep Learning, Natural Language
Natural language processing with deep learning
Delip Rao (Joostware)
Delip Rao explores natural language processing using a set of machine learning techniques known as deep learning. Delip walks you through neural network architectures and NLP tasks and teaches you how to apply these architectures for those tasks.
9:00am-5:00pm (8h) Deep Learning, Health care, IoT and its applications
Neural networks for time series analysis using Deeplearning4j
Josh Patterson (Skymind), Susan Eraly (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, Tom Hanlon, and Susan Eraly demonstrate how to use Deeplearning4j to build recurrent neural networks for time series data.
12:30pm-1:30pm (1h)
Break: Lunch
10:30am-11:00am (30m)
Break: Morning Break
3:00pm-3:30pm (30m)
Break: Afternoon Break