Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY

2-Day Training

All training courses takes place 9:00am - 5:00pm, Monday, June 26 through Tuesday, June 27 and are limited in size to maintain a high level of hands-on learning and instructor interaction.

Participants should plan to attend both days of this 2-day training course. Training passes do not include access to tutorials on Tuesday.

Monday, June 26 - Tuesday, June 27

9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Madison
Secondary topics:  Deep Learning
Dana Mastropole (The Data Incubator)
Average rating: ***..
(3.50, 2 ratings)
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. Read more.
9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Clinton
Secondary topics:  Deep Learning, Natural Language
Delip Rao (AI Foundation)
Average rating: ****.
(4.33, 3 ratings)
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. Read more.
9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Gibson
Secondary topics:  Deep Learning, Health care, IoT and its applications
Josh Patterson (Skymind), Susan Eraly (Skymind), 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? Josh Patterson, Tom Hanlon, and Susan Eraly demonstrate how to use Deeplearning4j to build recurrent neural networks for time series data. Read more.
9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Bryant
Secondary topics:  Deep Learning
Charles Killam (NVIDIA)
Average rating: ***..
(3.00, 2 ratings)
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. Read more.