Cargando…
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.
Autor principal: | Ravichandiran, Sudharsan |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing
2018
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2667833 |
Ejemplares similares
-
Hands-on reinforcement learning with Python: master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
por: Ravichandiran, Sudharsan
Publicado: (2018) -
Hands-on deep learning algorithms with Python: master deep learning algorithms with extensive math by implementing them using TensorFlow
por: Ravichandiran, Sudharsan
Publicado: (2019) -
Python reinforcement learning: solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
por: Ravichandiran, Sudharsan, et al.
Publicado: (2019) -
Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
por: Raschka, Sebastian, et al.
Publicado: (2017) -
Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
por: Raschka, Sebastian, et al.
Publicado: (2019)