Hands On One Shot Learning With Python

Download Hands On One Shot Learning With Python PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Hands On One Shot Learning With Python book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Hands On One Shot Learning With Python

Hands On One Shot Learning With Python written by Shruti Jadon and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-10 with Computers categories.

Get to grips with building powerful deep learning models using PyTorch and scikit-learn Key FeaturesLearn how you can speed up the deep learning process with one-shot learningUse Python and PyTorch to build state-of-the-art one-shot learning modelsExplore architectures such as Siamese networks, memory-augmented neural networks, model-agnostic meta-learning, and discriminative k-shot learningBook Description One-shot learning has been an active field of research for scientists trying to develop a cognitive machine that mimics human learning. With this book, you'll explore key approaches to one-shot learning, such as metrics-based, model-based, and optimization-based techniques, all with the help of practical examples. Hands-On One-shot Learning with Python will guide you through the exploration and design of deep learning models that can obtain information about an object from one or just a few training samples. The book begins with an overview of deep learning and one-shot learning and then introduces you to the different methods you can use to achieve it, such as deep learning architectures and probabilistic models. Once you've got to grips with the core principles, you'll explore real-world examples and implementations of one-shot learning using PyTorch 1.x on datasets such as Omniglot and MiniImageNet. Finally, you'll explore generative modeling-based methods and discover the key considerations for building systems that exhibit human-level intelligence. By the end of this book, you'll be well-versed with the different one- and few-shot learning methods and be able to use them to build your own deep learning models. What you will learnGet to grips with the fundamental concepts of one- and few-shot learningWork with different deep learning architectures for one-shot learningUnderstand when to use one-shot and transfer learning, respectivelyStudy the Bayesian network approach for one-shot learningImplement one-shot learning approaches based on metrics, models, and optimization in PyTorchDiscover different optimization algorithms that help to improve accuracy even with smaller volumes of dataExplore various one-shot learning architectures based on classification and regressionWho this book is for If you're an AI researcher or a machine learning or deep learning expert looking to explore one-shot learning, this book is for you. It will help you get started with implementing various one-shot techniques to train models faster. Some Python programming experience is necessary to understand the concepts covered in this book.

Hands On Meta Learning With Python

Hands On Meta Learning With Python written by Sudharsan Ravichandiran and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-31 with Computers categories.

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.

The Learning Lark

The Learning Lark written by Glyn Jones and has been published by London, Dent this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with English fiction categories.

Harper S Weekly

Harper S Weekly written by John Bonner and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1872 with United States categories.

In Search Of The Primitive

In Search Of The Primitive written by Lewis Cotlow and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1966 with Anthropology categories.

The Wide World Magazine

The Wide World Magazine written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1910 with categories.

Forest And Stream

Forest And Stream written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1881 with Birds categories.

Film Review

Film Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Motion pictures categories.

Directing

Directing written by Mike Goodridge and has been published by Ilex Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Performing Arts categories.

Ultimately responsible for the creative content on screen, directors are the captains of the ship on every film. All actors and heads of department report to them. Some directors are also writers, employing unique styles of dialogue. Others, like Pedro Almodóvar, create inimitable visual and tonal styles that set their films apart from the crowd. Unlike the other volumes in the series, Directing covers all disciplines of film art that pass through the director's hands, from development and writing, to working with actors, designers and cinematographers, to post-production and distribution

The Empire Review

The Empire Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1924 with Great Britain categories.