| Description |
1 online resource (1 streaming video file (55 min., 33 sec.)) |
| Summary |
"TensorSpace is a neural network 3D visualization framework built by TensorFlow.js, Three.js, and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. By applying TensorSpace API, it is more intuitive for Data Scientists to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, and so on. In this quick and short course, you'll learn how to present the inner workings of your pre-trained Neural Network models with easy-to-access 3D visualizations in a web browser. By the end of this course, you'll be able to create compelling 3D visualizations that will show the neural network architecture and how pre-trained models work in real time with TensorSpace."--Resource description page |
| Notes |
Title from title screen (viewed April 26, 2019) |
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Date of publication from resource description page |
| Performer |
Presenter, Jakub Konczyk |
| Subject |
Information visualization.
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Neural networks (Computer science)
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JavaScript (Computer program language)
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Machine learning.
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Neural Networks, Computer
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Information visualization.
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JavaScript (Computer program language)
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Machine learning.
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Neural networks (Computer science)
|
| Genre/Form |
Instructional films.
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Instructional films.
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Films de formation.
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| Form |
Streaming video
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