Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann
Mar 11, 2020 Season 1 Episode 87
Confluent, original creators of Apache Kafka®

TensorFlow is an open source machine learning platform that can be used with Apache Kafka® for deep learning. Chris Mattmann, author of Machine Learning with TensorFlow, introduces us to TensorFlow as a Google technology that teaches computers how to think and make connections like humans do. For example, when there is a signifier that the mind processes, out comes a label to the object in front of you. TensorFlow is Google's version of wrangling various technologies to help group them together and work smoothly as large amounts of data flow through. 

Chris also breaks down neural networks, how technology simulates cerebral processes that take place when our visual cortex receives a new image, plus a use case that involves Apache Kafka and event streaming to achieve TensorFlow's goals.

EPISODE LINKS

SEASON 2
Hosted by Tim Berglund, Adi Polak and Viktor Gamov
Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed
Music by Coastal Kites
Artwork by Phil Vo

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