Deep Learning for Computer Vision with Keras and PyTorch
Benjamin Neudorf
Sold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: Over 20 available
Add to basketSold by PBShop.store US, Wood Dale, IL, U.S.A.
AbeBooks Seller since 7 April 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Seller Inventory # L0-9798266011595
Unlock the Power of AI—No Experience Required.
Are you fascinated by the idea of teaching computers to “see,” but feel overwhelmed by code, jargon, or the complexity of artificial intelligence? You’re not alone. Deep Learning for Computer Vision with Keras and PyTorch was created for complete beginners and self-taught learners who dream of building real-world image applications—but aren’t sure where to start.
Imagine going from zero experience to building powerful deep learning projects—step by step, with a trusted guide by your side.
This book is your supportive companion for mastering computer vision with Python’s most popular tools: Keras and PyTorch. Every chapter is written in warm, accessible language and designed to eliminate the fear of starting something new. You’ll never feel lost or left behind—just motivated, encouraged, and empowered to succeed.
What You’ll Learn:Build Practical Computer Vision Skills: Start with the basics and progress to advanced projects, from image classification to object detection and image segmentation—all with real Python code.
Beginner-Friendly Approach: No prior experience needed! Every concept is broken down step by step, using clear explanations, gentle walkthroughs, and helpful diagrams.
Master Keras and PyTorch: Learn both frameworks side by side, gaining versatility and confidence that set you apart in today’s AI landscape.
Work on Real-World Applications: Discover how deep learning powers healthcare, self-driving cars, social media, retail, and more. Build portfolio-worthy projects as you learn.
Normalize Mistakes, Celebrate Progress: Every small win counts. Mistakes are part of the journey, and this book celebrates your growth, making learning fun and anxiety-free.
Tangible, Hands-On Experience: Follow along with ready-to-use code, practical examples, and clear instructions to see immediate results—even if you’ve never coded before.
Gain confidence using deep learning for computer vision—even if you’re brand new to Python, AI, or coding.
Develop real projects using image classification, object detection, and image segmentation.
Learn how to troubleshoot, optimize, and deploy your own AI models for real-world use.
Build a foundation for further exploration in machine learning, neural networks, and advanced AI.
You don’t have to be a math whiz or tech genius to get started. All you need is curiosity and the desire to try. With this book, every step forward is a victory—no matter how small.
Ready to turn your curiosity into practical skills? Pick up your copy today and start building the future—one image at a time. Your learning adventure in deep learning and computer vision begins right here!
"About this title" may belong to another edition of this title.
Returns Policy
We ask all customers to contact us for authorisation should they wish to return their order. Orders returned without authorisation may not be credited.
If you wish to return, please contact us within 14 days of receiving your order to obtain authorisation.
Returns requested beyond this time will not be authorised.
Our team will provide full instructions on how to return your order and once received our returns department will process your refund.
Please note the cost to return any...
If you are a consumer you can cancel the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
INFORMATION REGARDING THE RIGHT OF CANCELLATION
Statutory Right to cancel
You have the right to cancel this contract within 14 days without giving any reason.
The cancellation period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the the last good or the last lot or piece.
To exercise the right to cancel, you must inform us, Paperbackshop-US, 901 Penhorn Avenue, Unit 6, 07094, Secaucus, New Jersey, U.S.A., 44 1285 712917, of your decision to cancel this contract by a clear statement (e.g. a letter sent by post, fax or e-mail). You may use the attached model cancellation form, but it is not obligatory. You can also electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". If you use this option, we will communicate to you an acknowledgement of receipt of such a cancellation on a durable medium (e.g. by e-mail) without delay.
To meet the cancellation deadline, it is sufficient for you to send your communication concerning your exercise of the right to cancel before the cancellation period has expired.
Effects of cancellation
If you cancel this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to cancel with contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to us or Paperbackshop-US, PaperbackShopUS, 801 Penhorn Avenue Unit 5, 07094, Secaucus, New Jersey, U.S.A., 44 1285 712917, without undue delay and in any event not later than 14 days from the day on which you communicate your cancellation from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of cancellation
The right of cancellation does not apply to:
Model withdrawal form
(complete and return this form only if you wish to withdraw from the contract)
To: (Paperbackshop-US, 901 Penhorn Avenue, Unit 6, 07094, Secaucus, New Jersey, U.S.A., 44 1285 712917)
I/We (*) hereby give notice that I/We (*) withdraw from my/our (*) contract of sale of the following goods (*)/for the provision of the following goods (*)/for the provision of the following service (*),
Ordered on (*)/received on (*)
Name of consumer(s)
Address of consumer(s)
Signature of consumer(s) (only if this form is notified on paper)
Date
* Delete as appropriate.
Books are shipped from our US or UK warehouses. Delivery estimates allow for delivery from either location.
| Order quantity | 7 to 14 business days | 7 to 14 business days |
|---|---|---|
| First item | £ 0.00 | £ 0.00 |
Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.