The RE’WORK Deep Learning Summit in London will delve deep into the most cutting-edge technical advancements of deep learning algorithms and models and the most innovative ways deep learning is being applied across various industries.
The full agenda can be found here –
Top academics, research scientists, industry leaders and pioneers in the field will share their latest work on increasing the accuracy and explainability of deep learning models, and how these can be applied to solve problems in business and society.
Topics covered include; speech & pattern recognition, neural networks, image analysis, reinforcement learning, computer vision and NLP. Discover how these topics are affecting various industries including healthcare, finance, retail, government, robotics and insurance. Attendees can expect to hear both the latest technological advancements & industry trends from a global line-up of experts. At the summit, there will also be the opportunity to connect with 500+ industry innovators and academics to share best practices, advice and knowledge of advancing the deep learning revolution.
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Discover advances in deep learning and smart artificial intelligence from the world’s leading innovators. Learn from the industry experts in speech & image recognition, neural networks and big data. Explore how deep learning will impact communications, manufacturing, healthcare & transportation.
DISCOVER EMERGING TRENDS
The summit will showcase the opportunities of advancing trends in deep learning and their impact on business & society. Will smart artificial intelligence finally rival human intelligence? Learn the latest technological advancements & industry trends from a global line-up of experts.
EXPAND YOUR NETWORK
A unique opportunity to interact with business leaders, influential technologists, data scientists & entrepreneurs leading the deep learning revolution. Learn from & connect with 300+ industry innovators sharing best practices to advance the smart artificial intelligence revolution.
WHO SHOULD ATTEND
- Data Scientists
- Data Engineers
- Machine Learning Scientists
- Director of Engineering
- Big Data Experts