| Description |
1 online resource (1 streaming video file (54 min., 31 sec.)) |
| Performer |
Presenters, Goku Mohandas, Alfredo Canziani. |
| Note |
Title from title screen (viewed June 6, 2018). |
| Summary |
"This video teaches you how to build a powerful image classifier in just minutes using convolutional neural networks and PyTorch. It reviews the fundamental concepts of convolution and image analysis; shows you how to create a simple convolutional neural network (CNN) with PyTorch; and demonstrates how using transfer learning with a deep CNN to train on image datasets can generate state-of-the-art performance. The course is designed for the software engineer looking to get started with deep learning and for the AI researcher with TensorFlow or Theano experience who wants a smooth transition into PyTorch. Prerequisites include an understanding of algebra, basic calculus, and basic Python skills. Learners should download and install PyTorch before starting class."--Resource description page |
| Subject |
Neural networks (Computer science)
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Python (Computer program language)
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Artificial intelligence.
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Machine learning.
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Neural Networks, Computer |
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Artificial Intelligence |
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Réseaux neuronaux (Informatique) |
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Python (Langage de programmation) |
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Intelligence artificielle. |
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Apprentissage automatique. |
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artificial intelligence. |
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Artificial intelligence. |
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Machine learning. |
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Neural networks (Computer science) |
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Python (Computer program language) |
| Added Author |
Canziani, Alfredo, on-screen presenter.
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