It takes the average reader 4 hours and 15 minutes to read Subspace Learning of Neural Networks by Jian Cheng Lv
Assuming a reading speed of 250 words per minute. Learn more
Using real-life examples to illustrate the performance of learning algorithms and instructing readers how to apply them to practical applications, this work offers a comprehensive treatment of subspace learning algorithms for neural networks. The authors summarize a decade of high quality research offering a host of practical applications. They demonstrate ways to extend the use of algorithms to fields such as encryption communication, data mining, computer vision, and signal and image processing to name just a few. The brilliance of the work lies with how it coherently builds a theoretical...
Subspace Learning of Neural Networks by Jian Cheng Lv is 248 pages long, and a total of 63,984 words.
This makes it 84% the length of the average book. It also has 78% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 5 hours and 49 minutes to read Subspace Learning of Neural Networks aloud.
Subspace Learning of Neural Networks 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.
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