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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence...

Description: FASTSHIPPING HASSLEFREERETURNS SECUREPAYMENT EXCELLENTSERVICE Description We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception to power our push toward creating self-driving vehicles, defeating human experts at a variety of difficult games including Go, and even generating essays with shockingly coherent prose. But deciphering these breakthroughs often takes a PhD in machine learning and mathematics. The updated second edition of this book describes the intuition behind these innovations without jargon or complexity. Python-proficient programmers, software engineering professionals, and computer science majors will be able to re-implement these breakthroughs on their own and reason about them with a level of sophistication that rivals some of the best developers in the field. Learn the mathematics behind machine learning jargon Examine the foundations of machine learning and neural networks Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Explore methods in interpreting complex machine learning models Gain theoretical and practical knowledge on generative modeling Understand the fundamentals of reinforcement learning Publisher ‏ : ‎ O'Reilly Media Language ‏ : ‎ English Paperback ‏ : ‎ 387 pages ISBN-10 ‏ : ‎ 149208218X ISBN-13 ‏ : ‎ 978-1492082187 Item Weight ‏ : ‎ 1.36 pounds Dimensions ‏ : ‎ 7 x 0.8 x 9.19 inches SHIPPING Shipping All items fast! The majority of orders are shipped using USPS Priority Mail and UPS Ground if requested. There is an option at checkout to add a Signature of Delivery for extra security & peace of mind. This means you need to sign for your parcel. If you are not home, the courier will take it to your local post office for collection. We also offer expedited shipments upon request, we will quote the shipment and let you know of the estimated cost. If agreed we will process the order and add the shipping charge to your invoice. All items ordered by 3 PM EST will be shipped same day. We also are partnered with Ebay using the Global Shipping Program. We will ship internationally to any country that is a part of the program. "International buyers – please note: Import duties, taxes, and charges aren't included in the item price or postage cost. These charges are the buyer's responsibility. "Please check with your country's customs office to determine what these additional costs will be, prior to bidding or buying." Alaska/Hawaii/Puerto Rico charge extra : $30.00 Canada $50.00  *Additional taxes may apply Every item we ship is fully insured. 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FEEDBACK Our all customers are 100% satisfied. If you have any issues with your orders, please contact us to resolve it. We are happy to help you EXCHANGE CANCELLATION You need to send us an order cancellation request through eBay before the shipment made. once we have the request, we will approve it from our end and grant your full refund back to your account. CONTACT US Please send us an email via ebay. We will reply within 24 hours. Copyright © | All Rights Reserved

Price: 71.87 USD

Location: Philadelphia, Pennsylvania

End Time: 2024-09-28T09:59:07.000Z

Shipping Cost: 5.99 USD

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Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence...

Item Specifics

Restocking Fee: No

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 or replacement (buyer's choice)

ISBN: 149208218X

Number of Pages: 387 Pages

Publication Name: Fundamentals of Deep Learning : Designing Next-Generation Machine Intelligence Algorithms

Language: English

Publisher: O'reilly Media, Incorporated

Subject: Enterprise Applications / Business Intelligence Tools, Machine Theory, Intelligence (Ai) & Semantics, Neural Networks

Publication Year: 2022

Item Height: 0.9 in

Type: Textbook

Item Weight: 23.4 Oz

Author: Nikhil Buduma, Nithin Buduma, Joe Papa

Subject Area: Computers

Item Length: 9.2 in

Item Width: 7 in

Format: Trade Paperback

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