Walmart US Ecommerce Website

GENERAL MERCHANDISE

PHARMACY

GROCERIES

VUDU

SPARK

PHOTO

ADVERTISING

SAVINGS CATCHER

GIFTCARDS

INHOME

AFFILIATE

ONEAPP

LOTUS

HELP

SMART_REORDER

GROCERY

CONV_COMMERCE

Buy Box Ad Container Module for Desktop

Custom HTML Module - About Klarna

Custom HTML Module - About SalesFinancing - Second update

You'll choose a plan at checkout.

#515357

I want delivery savings with Delivery Pass

#0071dc

NEW Fulfillment Tue Apr 15 2025 2:17 PM EDT

MTZ Team | Marquee 1 Ad | Item Page

MTZ Team | Marquee 2  Ad | Item Page

MTZ Team | Skyline Ad | Item Page

Other products of interest

MTZ Team | Sponsored Product Carousel - Item Page

More items to explore

MTZ Team | Sponsored Product Carousel - Item Page Broad 

NEW AddonServicesRedesign Fri Jul 18 2025 1:30 PM EDT

NEW AddToCart Mon Jul 14 2025 3:50 PM EDT

NEW AddToCart Tue Apr 15 2025 2:19 PM EDT

NEW BrandBoxDisplayAd Mon Jul 14 2025 9:14 PM EDT

NEW BrandLink Wed Apr 23 2025 12:07 AM EDT

NEW Breadcrumb Mon Apr 07 2025 8:23 PM EDT

Walmart Rewards Mastercard

NEW FinancingOptions Tue Dec 10 2024 3:32 PM EST

I want shipping & delivery savings with

NEW Fulfillment Mon Jul 14 2025 4:00 PM EDT

New Item Page - Nutrition Value Placeholder Module, Wednesday, February 08, 2023, 5:11:53:90 pm

New Item Page - Product Description Placeholder Module, Wednesday, February 08, 2023, 5:14:04:38 pm

New Item Page - Product Ingredients Placeholder Module, Friday, February 10, 2023, 10:34:23:79 am

New Item Page - Product Specifications Placeholder Module, Wednesday, February 08, 2023, 5:15:29:61 pm

New Item Page - Reviews Placeholder Module, Wednesday, March 22, 2023, 10:04:29:34 am

New Item Related Shelves Module, Thursday, June 15, 2023, 6:08:51:10 am

 Price Match Policy

Prices, terms, and availability may vary online, in stores, and in–app. If the advertised price is not shown here, inventory at the advertised price may now be sold out. Please see the other offers, if available, while quantities last. Some items may be available from Marketplace Sellers, who set their own prices, and are not eligible for price match. Items sold in store by Walmart may be eligible for a price match to online items shipped and sold by Walmart. For variable weight items, price shown is an estimated price only – you will be charged for the actual weight of the item. See our

NEW LegalPriceDisclaimer Mon Jul 14 2025 4:11 PM EDT

NEW LegalPriceDisclaimer Wed Apr 30 2025 12:13 AM EDT

NEW ListsAndRegistries Tue Apr 15 2025 4:50 PM EDT

NEW PaymentPlans Mon Jul 14 2025 4:15 PM EDT

NEW PaymentPlans Tue Apr 15 2025 1:31 PM EDT

NEW PriceInformation Tue Apr 15 2025 1:30 PM EDT

NEW ProductDescriptionPlaceholderATF Tue Jul 08 2025 11:41 PM EDT

NEW ProductFlags Thu Apr 10 2025 11:42 PM EDT

NEW ProductHighlightsPlaceholder Wed Jul 02 2025 12:43 AM EDT

NEW ProductImages Tue Apr 15 2025 2:13 PM EDT

NEW ProductName Tue Apr 15 2025 12:53 PM EDT

NEW ProductReturnPolicyDetails Tue Dec 10 2024 3:17 PM EST

NEW ProductReturnPolicy Mon Jul 14 2025 5:04 PM EDT

Return Policy

NEW ProductReturnPolicy Tue Apr 15 2025 2:28 PM EDT

NEW ProductStickyBuyBox Wed Jul 02 2025 12:55 AM EDT

NEW PromoDiscount Tue Apr 15 2025 6:53 PM EDT

New SellersSecondaryBuyBox Module, Tuesday, September 05, 2023, 4:02:21:76 pm

Shop Confidently

NEW ShopWithConfidence Thu Jan 15 2026 2:20 PM EST

NEW SocialProofMessage Tue Apr 15 2025 7:17 PM EDT

NEW SoldAndShippedBy Mon Jul 14 2025 5:04 PM EDT

NEW SoldAndShippedBy Tue Apr 15 2025 2:23 PM EDT

New!

More savings, less stress.

HSK_Subscribetosave_E_v2

NEW SubscriptionOptionsModule Tue Apr 15 2025 6:44 PM EDT

NEW SubscriptionPriceMessage Wed Apr 23 2025 6:48 PM EDT

NEW Variants Wed Apr 23 2025 11:01 PM EDT

[Sticky] BuyBoxAd Mon Aug 11 2025 3:59 AM EDT

[Sticky] PriceInformation Mon Jul 14 2025 4:03 PM EDT

Syndigo

#000000

Item Carousel - Rich Relevance 1

RR carousel

Item Carousel - Rich Relevance 2

RR carousel 2

Item Carousel - Rich Relevance 3

Deep Learning

<div><ul><li><span class="a-text-bold" style="color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-weight: 700 !important;"><span style="font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-weight: 400;">The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning.&nbsp;</span></span></li><li><span class="a-text-bold" style="color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-weight: 700 !important;"><span style="font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-weight: 400;">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.&nbsp;</span></span></li><li><span class="a-text-bold" style="color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-weight: 700 !important;"><span style="font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-weight: 400;">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.</span></span></li><li><span class="a-text-bold" style="color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-weight: 700 !important;"><br></span></li><li><span class="a-text-bold" style="color: rgb(15, 17, 17); font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-size: 14px; font-weight: 700 !important;">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.</span></li><li>“Written by three experts in the field,&nbsp;<span class="a-text-italic" style="font-style: italic !important;">Deep Learning</span>&nbsp;is the only comprehensive book on the subject.”</li><li><span class="a-text-bold" style="font-weight: 700 !important;">—Elon Musk</span>, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX</li><li><span class="a-text-italic" style="font-family: &quot;Amazon Ember&quot;, Arial, sans-serif; font-style: italic !important;">Deep Learning</span><span style="font-family: &quot;Amazon Ember&quot;, Arial, sans-serif;">&nbsp;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.</span></li></ul></div>

Book Format

Genre

Publication Date

Number of Pages

Reading Level

Number in Series

Edition

Publisher

Original Languages

Features

Series Title

Author

Is Large Print

Title

ISBN-13

Universal Product Code (UPC check)

fulfillment

title_shipToHome_date_free_delivery

<!DOCTYPE html>
<html>
   <head>
      <meta name="viewport" content="width=device-width, initial-scale=1">
      <link
         rel="stylesheet"
         href="https://unpkg.com/tachyons@4.12.0/css/tachyons.min.css"
         />
   </head>
   <body>
      <div class="flex flex-column justify-center w-100 ph3 normal lh-copy pt1">
            <div class="tc">
               <img src="https://i5.walmartimages.com/dfw/8822aef6-7abe/k2-_f4ee767f-a90a-4f70-be39-71e5d7b238a0.v1.jpg">
               <h3>4 equal payments</h3>
               <h4 class="gray">Buy what you love and split the cost. It's that easy. </h4>
            </div>
            <ul>
            <b>
               <li>Add item(s) to your cart.</li>
               <li>
                  Add items to checkout and choose 
                  <image height="14" width="auto" src="https://i5.walmartimages.com/dfw/8822aef6-7abe/k2-_f4ee767f-a90a-4f70-be39-71e5d7b238a0.v1.jpg"></image>
               </li>
               <li>Enter your debit or credit card information. </li>
               <li>Your first payment is taken when the order is processed, and the remaining 3 are automatically taken every two weeks.</li>
            </b>
            </ul>
            <p class="gray">Please note that a higher initial payment may be required for some purchases. Pay later in 4 <a href="https://cdn.klarna.com/1.0/shared/content/legal/terms/0/en_ca/paylaterin4" target="_blank">terms</a> available here. For Quebec residents, these Pay Later 4 <a href="https://cdn.klarna.com/1.0/shared/content/legal/terms/0/en_ca/paylaterin4_quebec" target="_blank">terms</a> are applicable. </p>
      </div>
   </body>
</html>

[This review was collected as part of a promotion.] Good quality book in terms of print and paper quality.

Nice product

walmart.com

highly recommend

Great book. Easy to understand and thorough.

Concise

[This review was collected as part of a promotion.]

[This review was collected as part of a promotion.] This is a classic textbook for deep learning, comes with well-explained content. I would definitely recommend to read.

classic textbook, bit pricy.

[This review was collected as part of a promotion.] Printing is okay but binding isn't that great. But it's okay.

Binding isn't just okay.

The book is great. I like explanation. The quality of the book is a bit below par. The hard is a bit bent

Deep Learning

Shop Confidently

More seller options (5)

Your data, your choice