Howard Huang (98 results)

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Hardcover. Condition: Near Fine. Near Fine. First Edition; First Printing. International orders may require additional postage.; 270 pages.

Soft cover. Condition: Near Fine. 1st Edition. First Edition, First Printing of this Collection of 10 Short Stories. Featured are Top Con by Clark Howard, Win Some, Lose Some by Jack Ritchie, A Woman Waits for Me by William Bankier, Wonder Cure by Reg Bretor, A Matter of Conscience by Gary Alexander, A Harmless Vanity by Theda O Henle, The Shanghai Gold Bars by Ta Huang Chi, The Affair of the Reluctant Witness by Erle Stanley Gardner, The Hand of God by Christianna Brand and The Spy and the Walrus Cipher by Edward D Hoch. In Near Fine Condition.…

Soft cover. Condition: Very Good. 1st Edition. First edition, first printing of this collection of one reprinted novelet and 9 short stories. The novelet is The Affair of the Reluctant Witness by Erle Stanley Gardner. The short stories are as follows: Top Con by Clark Howard, Win Some, Lose Some by Jack Ritchie, A Woman Waits for Me by William Bankier, Wonder Cure by Reg Bretnor, A Matter of Conscience by Gary Alexander, A Harmless Vanity by Theda O. Henle, The Shanghai Gold Bars by Ta Huang Chi, The Hand of God by Christianna Brand, The Spy and the Walrus Cipher by Edward D. Hoch. Light edge wear. In very good condition.…

Condition: New. Huang, Edwin (illustrator).

Condition: As New. Unread book in perfect condition. Huang, Edwin (illustrator).

Hard Cover. Condition: Fine. Dust Jacket Condition: Fine. First Edition; First Printing. New York, NY: Simon & Schuster. 1999. First Edition; First Printing. Hard Cover. 0684846608 The Dust Jacket features holographic cover art. This is the first edition of the author's first book. clph. Howard Huang (illustrator).…

Trade Paperback. Condition: Very Good. No Jacket. First Edition. The March 25, 1981 issue of Ellery Queen's Mystery Magazine, Vol 77 # 4, #451. Includes stories by Clark Howard (Top Con), Jack Ritchie (Win Some, Lose Some), William Bankier (A Woman Waits for Me), Reg Bretor (Wonder Cure), Gary Alexander (A Matter of Conscience), Theda O Henle (A Harmless Vanity), Ta Huang Chi (The Shanghai Gold Bars), Erle Stanley Gardner (The Affair of the Reluctant Witness), Christianna Brand (The Hand of God), Edward D Hoch (The Spy and the Walrus Cipher), and others. Light wear at the edges. The internals are clean and tight. A very good copy.…

Hardcover. Condition: Like New. Dust Jacket Condition: Like New. 1st Edition/ 1st Priniting. 229 pp. A collectible gem! A first edition and first printing in flawless condition; both book and dj. Series: Princess Diaries. Princess Amelia Mignonette Grimaldi Thermopolis Renaldo may seem the luckiest girl ever. -- She's a princess, for starters. She also lives in New York City. And while she's no supermodel, mirrors do not crack at her reflection. Best of all, she finally has a boyfriend. -- The truth is, however, that Mia spends all her time doing one of three things: preparing for her nerve-racking entrée into Genovian society under the slave-driving but elegant Grandmére, slogging through congestion unique to Manhattan in December, and avoiding further smooches from her hapless boyfriend, Kenny. -- All she wants is a little peace and quiet.and a certain someone else to be her boyfriend. For Mia, being a princess in love is not the fairy tale it's supposed to be.or is it? In a series of humorous diary entries, a New York City ninth grader agonizes over her love life, final exams, and future role as the princess of Genovia. [T]old in perfect teenage vernacular.The third in the series.has the best ending yet, which proves that princesses--even tall, flat-chested, algebraically challenged ones--always find true love. -- Kirkus Reviews  (04/01/2002) -- Cabot still makes the most of her heroine's appealing situation, however, and Mia's comedic overwhelmedness, reminiscent of Rennison's ANGUS, THONGS, AND FULL-FRONTAL SNOGGING, remains funny and readable. Alison Donalty (Jacket Design); Timoth Hampson (Front Jacket Photo); Howard Huang (Back Jacket Photo) (illustrator).…

Condition: New. Huang, Edwin (illustrator).

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: Near Fine. Near Fine. 1st Edition. Signed by Author(s). The dust jacket is unclipped ($17.99). 10 9 8 7 6 5 4 3 2 1 number line. Signed by the author on a label that is attached to the front free end paper. Howard Huang, dj photo (illustrator).

Hardcover. Condition: Good. Light wear to boards with a corner bumped. Content is clean and bright. Good DJ with some tears.

Condition: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: reprint ] Publisher: Columbia University Press Pub Date: 5/15/2001 Binding: Hardcover Pages: 288 reprint edition.

Condition: As New. Unread book in perfect condition.

Condition: New.

HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: As New. Unread book in perfect condition. Huang, Edwin (illustrator).

Condition: New.

Paperback. Condition: Brand New. 5 pages. 8.75x6.00x0.50 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Lg quarto hardcover (VG+) in d/w (VG); all our specials have minimal description to keep listing them viable. They are at least reading copies, complete and in reasonable condition, but usually secondhand; frequently they are superior examples. Ordering more than one book may reduce your overall postage costs.…

paperback. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardcover. Condition: new. Hardcover. Stop guessing at PyTorch syntax, start building production-ready models today. Bridge the gap between theory and working code with guided, hands-on projects. Confused by transformers and diffusion? Learn them through clear, incremental steps. Grow from basic tensors to complete neural networks without drowning in jargon. Feel confident diagnosing training issues using PyTorchs powerful visualization tools. Stay market-relevant by mastering the latest generative AI techniques right now. Project-based learning: Build an end-to-end medical image classifier that cements every concept. Flexible PyTorch APIs: Customize layers, losses, and optimizers for research or production speed. CNNs, RNNs, Transformers: Apply the right architecture to vision, language, and multimodal tasks. Generative models: Create text and images with large language models and diffusion networks. Optimization know-how: Improve accuracy, reduce inference cost, and streamline model deployment. Deep Learning with PyTorch, Second Edition, by Luca Antiga, Eli Stevens, Howard Huang, and Thomas Viehmann, delivers a credible, code-first roadmap for serious AI practitioners. The book guides you through every stage, from data loading to scaled deployment. Each chapter introduces a single concept, then immediately applies it to a working project. Updated coverage of transformers, diffusion, and distributed training keeps the content current. Friendly explanations, annotated code, and ample visuals make complex ideas clear and actionable. Finish the book able to design, train, and ship state-of-the-art models using PyTorchs flexible toolkit. You will upskill confidently and join the ranks of engineers pushing AI forward. Ideal for Python developers, data scientists, and ML engineers seeking practical mastery of modern deep learning. In Deep Learning with PyTorch, Second Edition, youll learn how to create your own neural network and deep learning systems and take full advantage of PyTorchs built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. PyTorch makes it easy to build the powerful neural networks that underpin many modern advances in artificial intelligence. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardback. Condition: New. 2nd. Stop guessing at PyTorch syntax, start building production-ready models today. Bridge the gap between theory and working code with guided, hands-on projects. Confused by transformers and diffusion? Learn them through clear, incremental steps. Grow from basic tensors to complete neural networks without drowning in jargon. Feel confident diagnosing training issues using PyTorch's powerful visualization tools. Stay market-relevant by mastering the latest generative AI techniques right now.  Project-based learning: Build an end-to-end medical image classifier that cements every concept.  Flexible PyTorch APIs: Customize layers, losses, and optimizers for research or production speed.  CNNs, RNNs, Transformers: Apply the right architecture to vision, language, and multimodal tasks.  Generative models: Create text and images with large language models and diffusion networks.  Optimization know-how: Improve accuracy, reduce inference cost, and streamline model deployment.  Deep Learning with PyTorch, Second Edition, by Luca Antiga, Eli Stevens, Howard Huang, and Thomas Viehmann, delivers a credible, code-first roadmap for serious AI practitioners. The book guides you through every stage, from data loading to scaled deployment.  Each chapter introduces a single concept, then immediately applies it to a working project. Updated coverage of transformers, diffusion, and distributed training keeps the content current. Friendly explanations, annotated code, and ample visuals make complex ideas clear and actionable.  Finish the book able to design, train, and ship state-of-the-art models using PyTorch's flexible toolkit. You will upskill confidently and join the ranks of engineers pushing AI forward.  Ideal for Python developers, data scientists, and ML engineers seeking practical mastery of modern deep learning.…