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Hands-on meta learning with Python: meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
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Lenguaje: | eng |
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Packt Publishing
2018
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Acceso en línea: | http://cds.cern.ch/record/2667833 |