Hands-On Meta Learning with Python

Hands-On Meta Learning with Python
Author :
Publisher : Packt Publishing Ltd
Total Pages : 218
Release :
ISBN-10 : 9781789537024
ISBN-13 : 1789537029
Rating : 4/5 (029 Downloads)

Book Synopsis Hands-On Meta Learning with Python by : Sudharsan Ravichandiran

Download or read book Hands-On Meta Learning with Python written by Sudharsan Ravichandiran and published by Packt Publishing Ltd. This book was released on 2018-12-31 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks Key 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.


Hands-On Meta Learning with Python Related Books

Hands-On Meta Learning with Python
Language: en
Pages: 218
Authors: Sudharsan Ravichandiran
Categories: Computers
Type: BOOK - Published: 2018-12-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Explore a diverse set of meta-learning algorithms and techniques to enable human-like cognition for your machine learning models using various Python frameworks
Metalearning
Language: en
Pages: 182
Authors: Pavel Brazdil
Categories: Computers
Type: BOOK - Published: 2008-11-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining
Meta-Learning
Language: en
Pages: 404
Authors: Lan Zou
Categories: Computers
Type: BOOK - Published: 2022-11-05 - Publisher: Elsevier

DOWNLOAD EBOOK

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNN
Automated Machine Learning
Language: en
Pages: 223
Authors: Frank Hutter
Categories: Computers
Type: BOOK - Published: 2019-05-17 - Publisher: Springer

DOWNLOAD EBOOK

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing sys
Visible Learning
Language: en
Pages: 389
Authors: John Hattie
Categories: Education
Type: BOOK - Published: 2008-11-19 - Publisher: Routledge

DOWNLOAD EBOOK

This unique and ground-breaking book is the result of 15 years research and synthesises over 800 meta-analyses on the influences on achievement in school-aged s