Description: Further DetailsTitle: Hands-On Meta Learning with PythonCondition: NewSubtitle: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlowISBN-10: 1789534208EAN: 9781789534207ISBN: 9781789534207Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 12/31/2018Description: Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworksKey FeaturesUnderstand the foundations of meta learning algorithmsExplore practical examples to explore various one-shot learning algorithms with its applications in TensorFlowMaster state of the art meta learning algorithms like MAML, reptile, meta SGDBook Description Meta learning is an exciting research trend in machine learning, which enables a model to understand the learning process. Unlike other ML paradigms, with meta learning you can learn from small datasets faster. Hands-On Meta Learning with Python starts by explaining the fundamentals of meta learning and helps you understand the concept of learning to learn. You will delve into various one-shot learning algorithms, like siamese, prototypical, relation and memory-augmented networks by implementing them in TensorFlow and Keras. As you make your way through the book, you will dive into state-of-the-art meta learning algorithms such as MAML, Reptile, and CAML. You will then explore how to learn quickly with Meta-SGD and discover how you can perform unsupervised learning using meta learning with CACTUs. In the concluding chapters, you will work through recent trends in meta learning such as adversarial meta learning, task agnostic meta learning, and meta imitation learning. By the end of this book, you will be familiar with state-of-the-art meta learning algorithms and able to enable human-like cognition for your machine learning models.What you will learnUnderstand the basics of meta learning methods, algorithms, and typesBuild voice and face recognition models using a siamese networkLearn the prototypical network along with its variantsBuild relation networks and matching networks from scratchImplement MAML and Reptile algorithms from scratch in PythonWork through imitation learning and adversarial meta learningExplore task agnostic meta learning and deep meta learningWho this book is for Hands-On Meta Learning with Python is for machine learning enthusiasts, AI researchers, and data scientists who want to explore meta learning as an advanced approach for training machine learning models. Working knowledge of machine learning concepts and Python programming is necessary.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Sudharsan RavichandiranGenre: Computing & InternetRelease Year: 2018 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Hands-On Meta Learning with Python
Title: Hands-On Meta Learning with Python
Subtitle: Meta learning using one-shot learning, MAML, Reptile, and Meta-SG
ISBN-10: 1789534208
EAN: 9781789534207
ISBN: 9781789534207
Release Date: 12/31/2018
Release Year: 2018
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
Number of Pages: 226 Pages
Language: English
Publication Name: Hands-On Meta Learning with Python : Meta Learning Using One-Shot Learning, MAML, Reptile, and Meta-SGD with TensorFlow
Publisher: Packt Publishing, The Limited
Subject: Image Processing, Intelligence (Ai) & Semantics, Neural Networks, Programming Languages / Python
Publication Year: 2018
Type: Textbook
Author: Sudharsan Ravichandiran
Subject Area: Computers
Item Length: 3.6 in
Item Width: 3 in
Format: Trade Paperback
