Developing an image classifier using TensorFlow : convolutional neural network tutorial /

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Bibliographic Details
Imprint:New York, NY : Apress, 2019.
Description:1 online resource (42 minutes)
Language:English
Subject:
Format: E-Resource Video Streaming Video
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13680404
Hidden Bibliographic Details
Other authors / contributors:Kulshrestha, Saurabh, speaker.
Apress (Firm), production company.
Digital file characteristics:video file
Notes:Title from resource description page (viewed March 09, 2020).
Saurabh Kulshrestha, presenter.
In English.
Summary:Use TensorFlow to classify images automatically. This video starts by explaining the basics of computerized image classification. You'll understand how software processes images and how you can control and manipulate the images with that process. Then you'll dive into the basics of artificial intelligence and machine learning, understanding the limitations of traditional machine learning algorithms, and learning the new avenues opened up by deep learning and advanced AI. What You Will LearnApply the TensorFlow and Keras libraries to complex problemsMove past traditional machine learning algorithms into more advanced deep learningDevelop proficiency in convolutional neural network development Who This Video Is ForAdvanced programmers and engineers, such as data scientists, machine learning experts, Python developers, and research analysts.