How Long to Read Hands-On One-shot Learning with Python

How Long Does it Take to Read Hands-On One-shot Learning with Python?

It takes the average reader 2 hours and 27 minutes to read Hands-On One-shot Learning with Python by Shruti Jadon

Assuming a reading speed of 250 words per minute. Learn more

Description

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.

How long is Hands-On One-shot Learning with Python?

Hands-On One-shot Learning with Python by Shruti Jadon is 145 pages long, and a total of 36,975 words.

This makes it 49% the length of the average book. It also has 45% more words than the average book.

How Long Does it Take to Read Hands-On One-shot Learning with Python Aloud?

The average oral reading speed is 183 words per minute. This means it takes 3 hours and 22 minutes to read Hands-On One-shot Learning with Python aloud.

What Reading Level is Hands-On One-shot Learning with Python?

Hands-On One-shot Learning with Python is suitable for students ages 10 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Hands-On One-shot Learning with Python?

Hands-On One-shot Learning with Python by Shruti Jadon is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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