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Developing an image classifier using TensorFlow : convolutional neural network tutorial
/ [Saurabh Kulshrestha] ; [produced by] Apress
Streaming Videos
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Springer Nature
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2019
Available at Online plus 1 more
View streaming video from Academic Video Online.
Details
| Description |
1 online resource (42 minutes)
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| Playing Time |
004124
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| Description |
two-dimensional moving image tdi rdacontent
computer c rdamedia
video v rdamedia
online resource cr rdacarrier
video file rda
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| Series | |
| Note |
Title from resource description page (viewed March 09, 2020).
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| Performer |
Saurabh Kulshrestha, presenter.
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| 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.
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| Language |
In English.
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| Subject | |
| Genre/Form | |
| Added Author |
Kulshrestha, Saurabh, speaker.
Apress (Firm), production company.
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| Standard No. |
ASP4691234/marc
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