Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK
 
Hilton Meeting room 1/2
9:00 Natural language processing with deep learning Brian McMahan (Joostware)
Hilton Meeting room 3/4
9:00 AI for managers Angie Ma (ASI Data Science), Jonny Howell (ASI Data Science), Emanuele Moscato (ASI Data Science)
Hilton Meeting rooms 5/6
9:00 Deep learning with TensorFlow Robert Schroll (The Data Incubator)
Windsor Suite
12:30 Lunch | Room: Restaurant
10:30 Morning Break | Room: Hilton Meeting Room Foyer and Mezzanine
15:00 Afternoon Break | Room: Hilton Meeting Room Foyer and Mezzanine
9:00-17:00 (8h) Deep Learning models, Deep Learning tools, Text, Language, and Speech
Natural language processing with deep learning
Brian McMahan (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.
9:00-17:00 (8h) AI in the Enterprise
AI for managers
Angie Ma (ASI Data Science), Jonny Howell (ASI Data Science), Emanuele Moscato (ASI Data Science)
Angie Ma and Jonny Howell offer a condensed introduction to key AI and machine learning concepts and techniques, showing you what is (and isn't) possible with these exciting new tools and how they can benefit your organization.
9:00-17:00 (8h) Deep Learning tools
Deep learning with TensorFlow
Robert Schroll (The Data Incubator)
TensorFlow is an increasingly popular tool for deep learning. Robert Schroll 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, Robert covers several real-world deep learning applications, including machine vision, text processing, and generative networks.
9:00-17:00 (8h) Sponsored, TensorFlow at AI
Serverless machine learning with TensorFlow on GCP Day (sponsored by Google Cloud)
Benoit Dherin (Google)
Benoit Dherin leads an introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-ons labs, you'll learn machine learning (ML) and TensorFlow concepts and develop skills in developing, evaluating, and productionizing ML models.
12:30-13:30 (1h)
Break: Lunch
10:30-11:00 (30m)
Break: Morning Break
15:00-15:30 (30m)
Break: Afternoon Break