Introduction to computer vision with TensorFlow using convolutional neural networks and TensorFlow to solve computer vision tasks
"This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especial...
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| Format: | eBook |
| Language: | English |
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[Place of publication not identified]
O'Reilly
2017
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "This course provides an introduction to using deep learning models to solve computer vision tasks in TensorFlow and is focused on the work horse of deep learning image models: the convolutional neural network. Expert Lucas Adams teaches you how to get these models up and running fast, especially in domains with limited computing resources or training data, and shows you how to modify the architecture of a neural network to make the model specialized to different tasks. Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs."--Resource description page |
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| Item Description: | Title from title screen (viewed May 18, 2017). - Date of publication from resource description page |
| Physical Description: | 1 streaming video file (30 min., 56 sec.) digital, sound, color |