Pay in installments of $34.32 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 4 - Aug 9
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Epson WorkForce C11CH67401 WF-7840DTWF Inkjet Printer, A3, Colour, Wireless, All-in-One, inc Fax, Network, 10.9cm Colour Touch ScreenEpson WorkForce C11CH67401 WF 7840DTWF Inkjet Printer, A3, Colour, Wireless, All in One, inc Fax, Network, 10. 9cm Colour Touch Screen Think big with this high quality multifunction with double sided printing, copying and scanning all up to A3. Youll stride through tasks with print speeds of up to 25ppm in black and a 50 page A3 automatic document feeder (ADF). And thats not forgetting its cost effective inks and flexible wireless connectivity
Epson WorkForce C11CH67401 WF-7840DTWF Inkjet Printer, A3, Colour, Wireless, All-in-One, inc Fax, Network, 10.9cm Colour Touch ScreenThink big with this high-quality multifunction with double-sided printing, copying and scanning all up to A3. You’ll stride through tasks with print speeds of up to 25ppm in black and a 50 page A3 automatic document feeder (ADF). And that’s not forgetting its cost-effective inks and flexible wireless connectivity solutions such as and Scan-to-cloud
Professional A3 printing
This A3+ multifunction printer will meet the needs of even the most demanding home office and small office users. It offers double-sided (duplex) printing, scanning and faxing all up to A3, plus its automatic document feeder can process up to 50 double-sided A3 pages. Furthermore, its PrecisionCore printhead produces high-quality, laser-like prints.
Enhance your productivity
This efficient, reliable and fast model offers print speeds of 25ppm in black and 12ppm in colour. It’s also simple to operate directly thanks to its intuitive user interface and 10.9cm touchscreen. This model also features 2 x 250 paper trays and an additional 50 sheet rear paper tray
Minimise your outgoings
Dramatically reduce your costs; this printer is compatible with individual inks which are are 50% more efficient compared to tri-colour cartridges. Giving great value for money, cartridges are available in standard, XL and XXL, with the highest yield delivering up to 1,100 pages.
Flexible wireless solutions
Print from anywhere in the office with Wi-Fi connectivity or use Wi-Fi Direct to print from compatible wireless devices without a Wi-Fi network. Epson's free mobile printing apps and solutions provide further versatility; Email Print allows you to send items to print from almost anywhere in the world². And with Scan-to-Cloud, you can enjoy the benefits of collaborative working.
Key Features
High-quality A3+ multifunction: Double-sided print, scan, copy and fax - all up to A3
Fast business-quality printing: 25ppm in black and 12ppm in colour
Cost-effective inks: Individual inks are 50% more efficient compared to tri-colour cartridges
Wireless solutions: Ethernet, Wi-Fi, Wi-Fi Direct and Scan-to-Cloud
Epson's free mobile printing apps: Freedom to print and scan from almost anywhere
Speed MonochromeUp to 32ppm (A4) Mono Print
Printer ResolutionUp to 4,800 x 2,400 dpi Print
Speed ColourUp to 22ppm (A4) Colour Print
Double Sided PrintingAutomatic Double Sided Printing
Product Group OutputA3+
Borderless PrintingYes
Speed Colour (Duplex)Up to 9ppm (A4) Mono Print
Speed Monochrome (Duplex)Up to 16ppm (A4) Mono Print
Scan
Scanner Optical ResolutionUp to 1,200 x 2,400 dpi Scan
Double Sided ScanAutomatic
Scan DestinationsScan to Network Folder, Scan to Email, Scan to Computer, Scan to Memory Device, Scan to Cloud, Scan to Smart Device, Scan using WSD
Scan Facility PresentYes
Scan File FormatBMP, JPEG, TIFF, multi-TIFF, PDF, searchable PDF, PNG
Scan Speed ColourAs Fast as 10 Seconds/Page (Flatbed) / Up to 9ipm (ADF)
Scan Speed MonochromeAs Fast as 5 Seconds/Page (Flatbed) / Up to 26ipm (ADF)
Scanner TypeContact Image Sensor (CIS)
Fax
Speed Dials200 Names and Numbers speed dials
Fax SpeedUp to 33.6kbps Fax
Fax Facility PresentYes
Fax FunctionsPC Fax, Fax to E-mail, Memory Reception, Auto Redial, Fax to Folder, Address Book, Delay Send, Broadcast Fax, Fax Preview, Polling Reception
Fax MemoryUp to 550 Pages
Copy
Copy Facility PresentYes
Paper / Media Handling
Paper Handling Input 12 x 250 Sheet Input Trays
Paper Handling Input 2Rear Paper Path
Automatic Document Feeder50 Sheet DADF
Maximum Paper Weight256gsm
Media Sizes SupportedA3+, A3, A4, A5, A6, B5, C4 (Envelope), C6 (Envelope), DL (Envelope), No. 10 (Envelope), Letter, 9 x 13 cm, 10 x 15 cm, B4, 13 x 18 cm, 16:9, User defined, Legal
Media Sizes Supported (Duplex)A3, A4
Minimum Paper Weight64gsm
Paper Handling Output125 Sheet Output Tray
Interfaces
Interface Type(s)USB, Network, Wireless & WiFi Direct
LCD Screen10.9cm Colour Touch Screen
Airprint CompatibleYes
Mobile & Cloud Printing ServicesEpson Connect (iPrint, Email Print, Remote Print Driver, Scan-to-Cloud), Apple AirPrint, Mopria
Compatibility
Operating Systems SupportedWindows & Mac Compatible
Mac Operating Systems SupportedMac OS X Version 10.5.8 to 11 (Big Sur)
Windows Operating Systems SupportedWindows 10, Windows 8.1, Windows 8, Windows 7, Windows XP, Windows Vista, Windows Server 2003, Windows Server 2008, Windows Server 2012, Windows Server 2016, Windows Server 2019
Physical / Dimensions
Mono or Colour PrinterColour
Multifunction SummaryPrint/Scan/Copy/Fax
TechnologyMultifunction Inkjet Printer
Dimensions515mm (W)? x 450mm (D) x 350mm (H) - 20.6kg
Product TypeA3+ Inkjet Printer
Security
WLAN SecurityWEP 64 Bit, WEP 128 Bit, WPA PSK (TKIP), WPA PSK (AES)
In the Box
Epson WorkForce Pro WF-7840DTWF, CMY Starter Ink Cartridges (300 Pages)*, Black Starter Ink Cartridge (350 Pages)*, *(Some ink will be used during the set-up process. Actual page counts will vary from these estimates), Power Cable, Quick Start Guide, Warranty Document
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.3 ★★★★★
Based on 9 reviews
Sort
Product Reviews
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier.
Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas.
However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon).
As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful.
Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics).
I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book.
In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 18, 2017
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience.
If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference.
I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance:
The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals).
Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning.
Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time.
And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 21, 2020
★★★★★ 5
The best DL/ML book I have ever seen!!
Format: Hardcover
Fantastic deep-learning book! The logic is very easy to follow, but the content is very thorough when it comes to explaining the theories behind it, making it perfect for beginners as well as math and CS students. The best DL/ML book I have ever seen!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 30, 2025
★★★★★ 5
Comprehensive Look At An Incredibly Complex Topic
Format: Hardcover
Deep Learning is an advanced book with great explanations and details. There is a heavy math focus with the book's beginning chapters detailing the necessary linear algebra and probability that one will need to understand deep learning. I liked that the author's chose to cover only the parts of these subjects which are relevant to deep learning.
There are many interesting philosophical sections in the book as well. Just about when I was feeling overwhelmed with the complexity of the mathematics the authors take a step back and cover the foundations of deep learning such as borrowing concepts from human learning. There was an interesting dicussion about the early studies done on the vision of cat's and monkey's in the 1970s.
The text covers the entire history of deep learning and the bibliography is hundreds of sources. It is clear this is the most comprehensive text available about deep learning. For anybody interested in this topic this book is a mandatory read.
There are sections about machine learning as well, which makes sense because deep learning is a subset of machine learning. These sections focused on the machine learning concepts which are most relevant to deep learning.
The book was well organized and divided into three parts which cover mathematics related to deep learning, typical deep learning techniques, and then more experiment learning techniques. Often the author's state when a technique works well or when it does not, and which types of data works best for the technique.
Just a warning, the math in this book is highly complex. It requires a lot of work to go through this book, but the effort will be well rewarded.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
★★★★★ 4
Too Dry.
Format: Hardcover
This was a required textbook for my class in college. I think it was too dry.
The book titled Deep Learning: From Curiosity To Mastery is much more approachable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
recommand products
4 Packs Calming Collar for Cats, Cat Calming Collar Anxiety Aggression Relief Stress Pheromone Collar for Cats, Cat Calming Products with 60 Days Long-Lasting Effect, Adjustable for Most Cat
18.19
Reale Accademia Di Musica: La Cometa - VINYL LP
677.50
Amateur Best: No Thrills - VINYL LP
24.99
Rhythm & Sound: Jah Rule - 12-INCH SINGLE
13.98
Melatonin for Cats, 2 Fl oz Cat Calming, Supports Restful Sleep for Your Cat, Anxiety Relief & Promote Relaxation
23.76