SKU: 82686045196

Injen 10-13 Toyota Prius 1.8L 4cyl / 11-13 Lexus CT 200H Hybrid Blk C/A Intake w/ MR Tech/Air Fusion

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Description

Injen 10-13 Toyota Prius 1.8L 4cyl / 11-13 Lexus CT 200H Hybrid Blk C/A Intake w/ MR Tech/Air FusionIs your engine choking for air and in need of some additional horsepower? If so, Injen has exciting news for you! The SP series of cold air intakes from Injen Technology will allow your engine to breathe deeper and enhance the performance that you've been craving. The SP series of cold air intakes is Injen's flagship system in their lines of traditional aluminum cold air intake systems. Injen Technology is the world's first tuned air intake system and

Is your engine choking for air and in need of some additional horsepower? If so, Injen has exciting news for you! The SP series of cold air intakes from Injen Technology will allow your engine to breathe deeper and enhance the performance that you've been craving. The SP series of cold air intakes is Injen's flagship system in their lines of traditional aluminum cold air intake systems. Injen Technology is the world's first tuned air intake system and holds four (4) patents on the tuning process of an intake system ? something no other manufacturer can claim. The SP series of cold air intakes feature many of Injen Technology's patented tuning process, including MegaRam (MR) Technology (Patents 7,359,795 and 7,669,571), Air Fusion (Patents 7,757,548 and 7,721,699), and many other innovations that keep Injen Technology at the forefront in the performance aftermarket. , , The soul of this intake is found within 6061-T6 aluminum air intake tube that provides a smooth uninterrupted path for highly efficient airflow. Our engineers have painstakingly designed the intake to provide the highest levels of safe power, along with clean aesthetics that will impress every time you open your hood. In addition to the impressive power increase, the Injen team has ensured that a safe Air fuel (A/F) ratio has been maintained throughout the power band. , , Additionally, this SP intake includes a fully serviceable Injen SuperNano-Web dry air filter, which provides increased filter surface area allowing for greater airflow and unbeatable filtration. If that's not enough, the Injen SP performance intake provides power you can hear and feel! This intake provides an aggressive and throaty tone that is unmatched in the aftermarket. Want to add that personalized touch to your intake? You're in luck, as Injen also offers this intake system in multiple finishes. To top it all off, this SP CAI kit includes the unbeatable Injen Technology limited Lifetime Warranty!

  • This product is not currently CARB exempt and is not available for purchase in California or for use on any vehicle registered with the California Department of Motor Vehicles.
  • Smooth intake piping eliminates restrictions and improves airflow
  • Dyno Proven gains of up to 10 hp and 13 lb-ft. of torque
  • Fully serviceable Injen SuperNano-Web dry air filter
  • Optional hydroshield part number 1033BLK or 1033RED
  • Features Injen's patented MegaRam (MR) Technology
  • Provides power gains while maintaining A/F ratios
  • Features Injen's patented Air Fusion Technology
  • Replacement air filter part number X-1012-BB
  • Aggressive engine tone under full throttle
  • Injen Technology Limited Lifetime Warranty
  • Increased Torque Up To 13 ft./lbs.
  • 6061-T6 aluminum intake tubing
  • Available in multiple finishes
  • Made in Pomona, California USA
  • No additional tuning required
  • Short Ram Air Intake Design

This Part Fits:

Year Make Model Submodel
2011-2014 Lexus CT200h Base
2014 Lexus CT200h F Sport
2010-2011 Toyota Prius Base
2012-2014 Toyota Prius Five
2012-2014 Toyota Prius Four
2012-2014 Toyota Prius Three
2012-2014 Toyota Prius Two
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SKU: 82686045196

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4.6 ★★★★★
Based on 17 reviews
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A
Verified Purchase
Amazon Customer
Cuba, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Alexandria, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Massapequa, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026
M
Verified Purchase
Moses Kayanda
Birmingham, US
★★★★★ 5
One of the best machine learning books...
Format: Paperback, Format: Paperback
Machine Learning can often be intimidating whether you are starting out or already a practitioner. It is easy to get stuck on one concept, walk away frustrated, or just copy that code you find on StackOverflow without really understanding what it does. What the authors of this book, Machine Learning with PyTorch and Scikit-Learn, have managed to do is to keep the reader engaged giving a deeper illustration as to how the concepts work. In this book, you get practical code examples, a detailed explanation of how the various library tools work, and exposure to the mathematical concepts behind machine learning algorithms. In addition, what I like about the book unlike many machine learning books is that the authors have managed to intuitively explain how each algorithm works, how to use them, and the mistake you need to avoid. I have not read a Machine Learning book that better explains Transformers as this one does. The authors have managed to give a detailed dive into this model architecture through well-explained codes and illustrations. As a reader, you walk away having intuitively grasped the concepts of attention and self-attention in ways that will make this crucial NLP architecture clear. You get exposed to pre-trained models from HuggingFace library which really helps to have that hands-on experience working with large datasets. As they have done throughout the book, the authors have broken down those complex mathematical operations into simple explanations that are easy to follow. What I generally like about the book is how it seamlessly connects all the chapters, not throwing off the reader. There are numerous external resources quoted throughout the book. This helps spark that curiosity to dig deeper. In addition, you get introduced to PyTorch, getting exposed to all those sophisticated libraries that help the reader learn how to maximize their compute power. I would say it is not intimidating at all even if you have not used PyTorch before. I would recommend this book to anybody seeking a textbook that is both easy to read and modern in its content. If were to rate the book I will give it a 10/10 as it really applies to both beginners and experienced practitioners, covers all the concepts one needs to apply in their operations, and acts as a quick reference.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 1, 2022
G
Verified Purchase
Gabe Rigall
Draper, US
★★★★★ 5
Thorough Primer for Machine Learning and PyTorch
Format: Paperback
BLUF: A thorough primer for machine learning enthusiasts with plenty of theory to underscore its many practical examples. A definite must-have for anyone looking to add PyTorch to their machine learning tool belt. PROS: - Extremely thorough (if not comprehensive). I really appreciate that this book doesn't just thrust one into building models with PyTorch. It starts at the "beginning" and provides examples, theory, additional resources, and citations along the way. - Theory. Those whose calculus and linear algebra courses ended many years ago will appreciate (if not remember exactly) the mathematical theory and notation that accompanies almost every paragraph. This book gives one the opportunity to "dig deeper" or stay in the shallows until the notation stops. - Python. Rather than simply utilizing Scikit-Learn to illustrate concepts and introduce models, this book contains many sections where models (such as a Perceptron) are coded from the ground up so the reader can fully understand the underlying mechanics. Python enthusiasts will nerd out. Parents of small children might want to skip a few pages. - Graphs, charts, and graphics. There are plenty of places where a drier text might have foregone the use of graphs. This text does not. It does however refrain from overusing them. - PyTorch. This should be obvious from the title, but this text prioritizes PyTorch instead of TensorFlow. This is especially helpful for those looking for an alternative to Keras and TensorFlow as the PyTorch API is very user-friendly. CONS: - Almost too much code. This isn't a true "con" but anyone wanting to emulate or follow along with the examples would do well to get the digital edition so they can copy and paste. - Length and complexity. Anyone hoping for a "quick read" or a "quick start guide" will be disappointed. This book hovers somewhere between an undergraduate primer and a graduate-level text for length and readability. This is not to say that it's difficult to read, merely that there are other "quick start" / "practical" texts out there that cater more to a lay audience.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022

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