It takes the average reader 10 hours and 23 minutes to read Deep Learning for NLP and Speech Recognition by Uday Kamath
Assuming a reading speed of 250 words per minute. Learn more
This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition...
Deep Learning for NLP and Speech Recognition by Uday Kamath is 621 pages long, and a total of 155,871 words.
This makes it 210% the length of the average book. It also has 190% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 14 hours and 11 minutes to read Deep Learning for NLP and Speech Recognition aloud.
Deep Learning for NLP and Speech Recognition 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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