Python Deep Learning Projects
9 projects demystifying neural network and deep learning models for building intelligent systems
Matthew Lamons
Rahul Kumar
Abhishek Nagaraja
BIRMINGHAM - MUMBAI
Python Deep Learning Projects
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Commissioning Editor: Pravin Dhandre
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First published: October 2018
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To my wife Kristine for her impatience with unintelligent technology and superhuman patience with me. The first provided me with the goal to study and apply deep learning to everyday problems, the second the time!
To my children Ethan and Margarete & husband Derek, and colleagues at The Intelligence Factory and Skejul Inc., for your support & encouragement as we work together to be the architects of the future and not it's victims.
Matthew Lamons
To my mom, dad and sister for constant support and motivation. To Late Prof. Pervez Ahmed for his wisdom and guidance which helped me to build my foundation and all my teachers for showing me the way.
To my friends for discussing ideas. And to the amazing team at Jatana.ai and BotSupply.ai. for pushing the boundaries of what I could achieve while creating technology products that drive innovation for a better future.
Rahul Kumar
To my mom, Nagarathna, and my dad, Nagaraja for your support, love, and for always being there for me. To my sisters Deepthi and Madhuri for always encouraging and guiding me all the way. To my amazing colleagues at Skejul Inc., for your constant support and believing in me. To Matthew Lamons for his guidance and for this opportunity.
Abhishek Nagaraja
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Contributors
About the authors
Matthew Lamons's background is in experimental psychology and deep learning. Founder and CEO of Skejulthe AI platform to help people manage their activities. Named by Gartner, Inc. as a "Cool Vendor" in the "Cool Vendors in Unified Communication, 2017" report. He founded The Intelligence Factory to build AI strategy, solutions, insights, and talent for enterprise clients and incubate AI tech startups based on the success of his Applied AI MasterMinds group. Matthew's global community of more than 85 K are leaders in AI, forecasting, robotics, autonomous vehicles, marketing tech, NLP, computer vision, reinforcement, and deep learning. Matthew invites you to join him on his mission to simplify the future and to build AI for good.
Rahul Kumar is an AI scientist, deep learning practitioner, and independent researcher. His expertise in building multilingual NLU systems and large-scale AI infrastructures has brought him to Copenhagen, where he leads a large team of AI engineers as Chief AI Scientist at Jatana.ai.
Often invited to speak at AI conferences, he frequently travels between India, Europe, and the US where, among other research initiatives, he collaborates with The Intelligence Factory as NLP data science fellow. Keen to explore the ramifications of emerging technologies for his next book, he's currently involved in various research projects on Quantum Computing (QC), high-performance computing (HPC), and the brain-computer interaction (BCI).
Abhishek Nagaraja was born and raised in India. Graduated Magna Cum Laude from the University of Illinois at Chicago, United States, with a Masters Degree in Mechanical Engineering with a concentration in Mechatronics and Data Science. Abhishek specializes in Keras and TensorFlow for building and evaluation of custom architectures in deep learning recommendation models. His deep learning skills and interest span computational linguistics and NLP to build chatbots to computer vision and reinforcement learning. He has been working as a Data Scientist for Skejul Inc. building an AI-powered activity forecast engine and engaged as a Deep Learning Data Scientist with The Intelligence Factory building solutions for enterprise clients.
About the reviewers
Doug Ortiz is the founder of Illustris, LLC and is an experienced enterprise cloud, big data, data analytics, and solutions architect who has architected, designed, developed, re-engineered, and integrated enterprise solutions. His other areas of expertise include Amazon Web Services, Azure, Google Cloud, Business Intelligence, Hadoop, Spark, NoSQL Databases, and SharePoint, to name but a few.
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