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Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow /: meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow. (2018)
Record Type:
Book
Title:
Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow /: meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow. (2018)
Main Title:
Hands-on meta learning with Python : meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Table of ContentsIntroduction to Meta LearningFace and Audio Recognition using Siamese NetworkPrototypical Network and its variantsBuilding Matching and Relation Network using TensorflowMemory Augmented NetworksMAML and its variantsMeta-SGD and Reptile ALgorithmGradient Agreement as an Optimization ObjectiveRecent Advancements and Next Steps.
Note: Includes bibliographical references. Note: Description based on online resource; title from title page (Safari, viewed February 25, 2019).
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Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.