With Hands-On Meta Learning with Python, explore practical examples to explore various one-shot learning algorithms with its applications in TensorFlow. Master state of the art meta learning algorithms like MAML, reptile, meta SGD. (Limited-time offer)
Table of Contents
- Introduction to Meta Learning
- Face and Audio Recognition Using Siamese Networks
- Prototypical Networks and Their Variants
- Relation and Matching Networks Using TensorFlow
- Memory-Augmented Neural Networks
- MAML and Its Variants
- Meta-SGD and Reptile
- Gradient Agreement as an Optimization Objective
- Recent Advancements and Next Steps
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Author(s): Sudharsan Ravichandiran
Publisher: Packt Publishing
Published: December 2018
Format(s): Online
File size: –
Number of pages: 226
Download / View Link(s): This offer has ended.
Free as of10/20/2019 06/25/2023.
Publisher: Packt Publishing
Published: December 2018
Format(s): Online
File size: –
Number of pages: 226
Download / View Link(s): This offer has ended.
Free as of