Tony Nguyen is a computer software professional with over 25 years of experiences.
Currently he is a software architect at a privately-funded startup Orna.AI, after a 20-year career in software engineering at Cisco Systems.
Tony is a faculty at ITU since 2014.
Tony also teaches various Computer Information System courses at De Anza College and San Jose City College.
Tony is a graduate of Santa Clara University with a Master degree in Computer Engineering in 1993.
He also completed master-level certificates in Information Security and Project Management at the Villanova University.
Tony was awarded the U.S. Patent 6546420B1 titled "Aggregating information about network message flows" for his innovative work with colleagues at Cisco Systems in 2003.
Tony Nguyen research interests include: cloud system security, artificial intelligence, machine learning, big data analytics
This session introduces the Keras Python library that can simplify machine learning. The Keras framewor achieves its goal to be user-friendly, modular, extensible. Keras not only works with Tensorflow library, it also works other libraries such as CNTK and Theano.
We will explore the facilities of Keras framework that provides a higher-level abstraction than the Tensorflow Python library. For example, instead of having to create an elaborate computation graph in Tensorflow with several steps, using the Keras library can reduce the necessary amount of steps by 60% or more.
We will use several practical examples of machine learning such as the random forest method, the recurrent neural network and convolution neural network as demonstration of the use of Keras library.