How Long to Read Tensor Networks for Dimensionality Reduction and Large-Scale Optimization

How Long Does it Take to Read Tensor Networks for Dimensionality Reduction and Large-Scale Optimization?

It takes the average reader 4 hours and 24 minutes to read Tensor Networks for Dimensionality Reduction and Large-Scale Optimization by Andrzej Cichocki

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

Description

This monograph builds on Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions by discussing tensor network models for super-compressed higher-order representation of data/parameters and cost functions, together with an outline of their applications in machine learning and data analytics. A particular emphasis is on elucidating, through graphical illustrations, that by virtue of the underlying low-rank tensor approximations and sophisticated contractions of core tensors, tensor networks have the ability to perform distributed computations on otherwise prohibitively large volume of data/parameters, thereby alleviating the curse of dimensionality. The usefulness of this concept is illustrated over a number of applied areas, including generalized regression and classification, generalized eigenvalue decomposition and in the optimization of deep neural networks. The monograph focuses on tensor train (TT) and Hierarchical Tucker (HT) decompositions and their extensions, and on demonstrating the ability of tensor networks to provide scalable solutions for a variety of otherwise intractable large-scale optimization problems. Tensor Networks for Dimensionality Reduction and Large-scale Optimization Parts 1 and 2 can be used as stand-alone texts, or together as a comprehensive review of the exciting field of low-rank tensor networks and tensor decompositions. See also: Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. ISBN 978-1-68083-222-8

How long is Tensor Networks for Dimensionality Reduction and Large-Scale Optimization?

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization by Andrzej Cichocki is 262 pages long, and a total of 66,024 words.

This makes it 88% the length of the average book. It also has 81% more words than the average book.

How Long Does it Take to Read Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours to read Tensor Networks for Dimensionality Reduction and Large-Scale Optimization aloud.

What Reading Level is Tensor Networks for Dimensionality Reduction and Large-Scale Optimization?

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization is suitable for students ages 12 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 Tensor Networks for Dimensionality Reduction and Large-Scale Optimization?

Tensor Networks for Dimensionality Reduction and Large-Scale Optimization by Andrzej Cichocki 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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