SKU: 48785226897

Lindy Fralin P90 Dogear Bridge Pickup Black

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Description

Lindy Fralin P90 Dogear Bridge Pickup BlackMaker: Fralin Pickups Model: P90 Dogear, Stock Output, 2 Conductor Condition: New Description: Discover what youve been missing with the Fralin P90: a vintage voiced P90 known for its versatility, clarity, and snarly midrange. With clear lows, thick mids, and percussive highs, we guarantee that the Fralin P90 will inspire you, no matter what guitar or music style you play. As with all Fralin Pickups, you can take pride in knowing we designed, built,

Maker: Fralin Pickups

Model: P90 Dogear, Stock Output, 2-Conductor 

Condition: New

 

Description: 

Discover what you’ve been missing with the Fralin P90: a vintage-voiced P90 known for its versatility, clarity, and snarly midrange. With clear lows, thick mids, and percussive highs, we guarantee that the Fralin P90 will inspire you, no matter what guitar or music style you play. As with all Fralin Pickups, you can take pride in knowing we designed, built, and assembled your P90 in Virginia using 100% USA-Made parts.

Don’t you love the sound of a screaming P90 Pickup? What’s not to love? Easily one of the most unique and versatile pickup designs out there, the Fralin P90 pushes the limit by using 100% USA-Made parts and a tone that will make your jaw drop.

Whether you play Rock, Jazz, Country, R&B, or Funk, you will undoubtedly stand out in the mix with the pronounced pick attack and crystal-clear lows. Available in a Soapbar, Dogear, and Humbucker, you can rest assured knowing you can get the Fralin P90 tone, in any guitar you have.

FEATURES:

  • Original Gibson Size – Soapbar and Dogear models available
  • Strong and bold – lots of midrange and snarl
  • USA-made Alnico 4 Magnets for aggressive tone and output
  • Compensated Bridge for even volume across all pickups
  • RW/RP Neck pickup for hum-canceling on the middle position
  • Adjustable USA-Made Steel Pole pieces for fine-tuning string balance
  • Hand-wound with our “Sectioning” technique for unique, dynamic tone
  • Hand-built and hand-wound for unrivaled quality control
  • 10-Year Warranty on manufacturing defects
  • Risk-free 30-Day Exchange Policy

Sound

Featuring a clear neck and an overwound bridge, our P90s have that undeniable thick Single-Coil tone with a distinct wound string, and percussive treble string. The midrange is full, thick, and warm – perfect for adding depth to your guitar.

Whether playing clean or dirty, we guarantee the “3-dimensional depth” that the Fralin P90 provides will inspire you for years to come. Single notes are punchy and clear without sounding tinny, and chords break up with a tight compression that’s guaranteed to push your amp.

And with a hand-wound scatter-wound coil, your pickup is as unique as you are – each coil features a subtly unique voice that will undoubtedly inspire you. Experience what you’ve been missing and give your guitar the P90 voice it was meant to have with the Fralin P90.

Tech Specs

SPECIFICATION VALUE
Neck Ohm Reading:  na
Bridge Ohm Reading: 8.2K
Neck Polarity: na
Bridge Polarity: Clockwise Coil Direction, South to Strings
Wire: USA-Made 42-Gauge Plain Enamel
Magnet: USA-Made Alnico 4 Bar Magnets
Recommended Pot Value: 500K
String Spacing: 50mm

 

Shipping Notes
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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]
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SKU: 48785226897

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4.7 ★★★★★
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Shannon
Dallas, US
★★★★★ 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
W
Verified Purchase
William P Ross
Waukegan, US
★★★★★ 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.
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Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Bozeman, US
★★★★★ 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.
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Reviewed in the United States on May 22, 2026
A
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Amazon Customer
Charlottesville, US
★★★★★ 5
Comprehensive! The Bible of Deep Learning!
This book has by far surpassed my expectations! I have purchased many machine learning and deep neural network books in the past, but nothing has ever come close to this book! First of all, it is written by the fathers of Deep Learning, and is therefore an authority. Secondly, the book is broken into three parts: 1. A math overview and refresher. 2. Deep Learning applications and 3. Research in Deep Learning. I can't help but go through this book from front to back. It is a smooth read, and every sentence written is meaningful. These guys know their stuff! And after you read this book, YOU WILL ALSO know your stuff! If you feel daunted by the price, just remember, you get what you pay for! I'd say they could easily charge about $300+ for this book, but they are doing everyone a very kind favor by ONLY charging this reasonable amount. You get A LOT of bang for your buck with this purchase. I hesitated at first about buying this book because of the price, but I am soooooo happy that I did! Worth every penny! Look no further, get this book and start your Deep Learning journey!!
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Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Omaha, US
★★★★★ 1
A rushed, poorly written guide of how the "experts" can't really explain what Deep Learning is
Format: Hardcover
This book, in every sense of the word, is rushed. I think the authors wanted to establish themselves as leaders of this young-ish field, but does so by sacrificing quality. It also shows that Deep Learning theory has been there for a long time, known by another name called Neural Networks. The interesting algorithms are of MLP, Back Propagation and the classical neural networks. The optimization methods such as Adam are the ones that are new and interesting, and the only ones worthy of in this book. So, essentially, what you get from this book is use A for X, B for Y and C for Z type of dry, un-intuitive, badly written waste of paper. As for the structure of the book, it's like an example of how not to structure a book. It has some linear algebra, probability at the start (not good enough, and confuses more people and wastes paper). Goes on to prove other algorithms such as PCA (yeah, ok!). Then, talks about how this architecture works for this and that architecture. So, yeah, if you really want to try out deep learning, don't buy this book. Set up Tensorflow/pytorch/ other library, run the tutorials, find an architecture for the problem you are interested in and start tweaking that. You will have far more fun and would have saved your money. The praise that this book gets is beyond me. Did Musk even read this book? I doubt it.
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Reviewed in the United States on May 15, 2018

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