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Machine Learning with TensorFlow (Paperback, 2nd edition)
Loot Price: R1,407
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Machine Learning with TensorFlow (Paperback, 2nd edition)
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This fully revised second edition of Machine Learning with
TensorFlow teaches you the foundational concepts of machine
learning and how to utilize the TensorFlow library to rapidly build
powerful ML models. You'll learn the basics of regression,
classification, and clustering algorithms, applying them to solve
real-world challenges. New and revised content expands coverage of
core machine learning algorithms and advancements in neural
networks such as VGG-Face facial identification classifiers and
deep speech classifiers. Written by NASA JPL Deputy CTO and
Principal Data Scientist Chris Mattmann, all examples are
accompanied by downloadable Jupyter Notebooks for a hands-on
experience coding TensorFlow with Python. Key Features *
Visualizing algorithms with TensorBoard * Understanding and using
neural networks * Reproducing and employing predictive science *
Downloadable Jupyter Notebooks for all examples * Questions to test
your knowledge * Examples use the super-stable 1.14.1 branch of
TensorFlow Developers experienced with Python and algebraic
concepts like vectors and matrices. About the technology
TensorFlow, Google's library for large-scale machine learning,
makes powerful ML techniques easily accessible. It simplifies
often-complex computations by representing them as graphs that are
mapped to machines in a cluster or to the processors of a single
machine. Offering a complete ecosystem for all stages and types of
machine learning, TensorFlow's end-to-end functionality empowers
machine learning engineers of all skill levels to solve their
problems with ML. Chris Mattmann is the Deputy Chief Technology and
Innovation Officer at NASA Jet Propulsion Lab, where he has been
recognised as JPL's first Principal Scientist in the area of Data
Science. Chris has applied TensorFlow to challenges he's faced at
NASA, including building an implementation of Google's Show &
Tell algorithm for image captioning using TensorFlow. He
contributes to open source as a former Director at the Apache
Software Foundation, and teaches graduate courses at USC in Content
Detection and Analysis, and in Search Engines and Information
Retrieval. Nishant Shukla wrote the first edition of Machine
Learning with TensorFlow.
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