Adaptive Computation and Machine Learning Ser Deep Learning by Yoshua Bengio New An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.Import Duty and Taxes As a Seller, we are unable to anticipate import duties or taxes for buyer country in advance. Our selling price does not include them. So, it is buyers responsibility. Payment We accept payment by Payoneer. Shipping Your order will be shipped within 3-4 business days of receiving payment. In the very unlikely event that your item is lost or damaged during post, then We are responsible and will issue either a full refund or replacement. NOTE: - IMAGES ARE FOR ILLUSTRATIONS ONLY. THE COMPANY MAY CHANGE ITEM DESIGN / PATTERN / PACKAGING FROM TIME TO TIME. WE WILL SHIP THE LATEST STOCK AVAILABLE WITH US. Returns If our product condition is not correct, you can return the product and get a full refund or exchange the product for another one, You can return a product for up to 30 days from the date you purchased it minus shipping and other fees. Feedback Your feedback is important for us. Please contact us if you have any problem with this product, we will solve that problem because we will always be happy to help you. Please Contact me Before open a case or negative feedback. Please don't open a case or leave a negative feedback. Thank you We can't buy happiness, but We can buy something for happiness.
| Return Shipping Will Be Paid By | Seller |
| All Returns Accepted | Returns Accepted |
| Item Must Be Returned Within | 30 Days |
| Refund Will Be Given As | Money Back |
| Publication Year | 2016 |
| Type | Textbook |
| Format | Hardcover |
| Subject Area | Computers |
| Language | English |
| Subject | Computer Science |
Adaptive Computation and Machine Learning Ser Deep Learning by Yoshua Bengio New An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.Import Duty and Taxes As a Seller, we are unable to anticipate import duties or taxes for buyer country in advance. Our selling price does not include them. So, it is buyers responsibility. Payment We accept payment by Payoneer. Shipping Your order will be shipped within 3-4 business days of receiving payment. In the very unlikely event that your item is lost or damaged during post, then We are responsible and will issue either a full refund or replacement. NOTE: – IMAGES ARE FOR ILLUSTRATIONS ONLY. THE COMPANY MAY CHANGE ITEM DESIGN / PATTERN / PACKAGING FROM TIME TO TIME. WE WILL SHIP THE LATEST STOCK AVAILABLE WITH US. Returns If our product condition is not correct, you can return the product and get a full refund or exchange the product for another one, You can return a product for up to 30 days from the date you purchased it minus shipping and other fees. Feedback Your feedback is important for us. Please contact us if you have any problem with this product, we will solve that problem because we will always be happy to help you. Please Contact me Before open a case or negative feedback. Please don’t open a case or leave a negative feedback. Thank you We can’t buy happiness, but We can buy something for happiness.
