SKU: 98482157066

Premium Battery for Cassidian, P3g, Tph700, Eads, P3g, Tph700 7.4V, 2300mAh - 17.02Wh

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Description

Premium Battery for Cassidian, P3g, Tph700, Eads, P3g, Tph700 7.4V, 2300mAh - 17.02WhOverview Categories Two Way Radio Battery Compatibles # View Full List of OEM numbers and models here Brand Cameron Sino Voltage 7. 4V Chemistry Li ion Capacity 2300mAh Dimensions 104. 40 X 36. 90 X 14. 40mm Weight 120. 0g Bar Code 4894128120407 Type Brand New Original Battery Warranty 1 Year Performance Guaranteed to Meet or Exceed Original Performance Certifications ISO9001, RoHS, and CE * Please make sure that the device manufacturer, The model

Overview
Categories
Two-Way Radio Battery
Compatibles #
View Full List of OEM numbers and models here
Brand
Cameron Sino
Voltage
7.4V
Chemistry
Li-ion
Capacity
2300mAh
Dimensions
104.40 X 36.90 X 14.40mm
Weight
120.0g
Bar Code
4894128120407
Type
Brand New Original Battery
Warranty
1 Year
Performance
Guaranteed to Meet or Exceed Original Performance
Certifications
ISO9001, RoHS, and CE

* Please make sure that the device manufacturer, The model number and also the battery part number are all listed in our product details. Some manufacturers have more than one battery type fitted in like models. We recommend that you remove the original battery before ordering to confirm this. If you are not sure we may be able to confirm for you.

* Please be advised that some higher capacity batteries are larger than the standard battery from the manufacturers. Please make sure that your model number is shown in the information above before ordering. If there is any doubt contact us first and we can advise if this is a suitable replacement for your device.

Description

Two-Way Radio Battery Articles & Tips

iTEKcanada Offers Free Shipping to All of Canada. ( Free Shipping for All Order over 59$+ ) !
The CS-ETH700TX Two-Way Radio Battery will solve your battery problems or provide you with a spare battery. The CS-ETH700TX Two-Way Radio Battery comes with a 30 day money back guarantee and 1 Year Warranty. Once we have received your new order for the CS-ETH700TX Two-Way Radio Battery, it will be processed within 24-48 hours or on the next business day via CanadaPost Mail.

Purchasing Two-Way Radio Battery
Two-Way Radio Battery by iTEKcanada.com are usually lower in price and usually exceed the performance of OEM Two-Way Radio Battery. Many of iTEKcanada.com’s Two-Way Radio Battery use the same battery cells as OEM batteries.

What is mAh / Wh?
These ratings show battery`s capacity. Think of them as gas in your car tank, the bigger the tank, the more fuel it will carry and your car will drive longer. Same with these batteries, the higher the mAh/Wh, the longer your device will run between recharges.

Will your higher capacity (mAh/Wh) Two-Way Radio Battery work in my device, even though my original battery has a smaller rating?
Definitely! Our batteries are designed to be 100% replacements for original batteries. Higher mAh/Wh rating means longer run time between recharges. The higher the rating the slower it will take for the batteries to drain down. Meaning you will get longer talk time with a higher mAh rating. In other word, higher is the mAh number, better it’ll be for your device.

Quality and Safety
This battery contains advanced technical components and has been tested according to strict CE safety standards. The battery contains a chip that prevents overcharging and short circuiting. Next to this the battery is made from high quality cells that do not suffer from a so-called 'memory effect'.'

Factory Fresh
Batteries lose performance over their lifetime, even when they are not used. Many importers and resellers store their batteries in stock for a long time before they are sold. iTEKcanada.com sends products almost directly from the factory, so you are sure that you will get a brand new high quality battery!

Compatible Devices & Replacements

Compatible Batteries

Device Manufacturer
Battery Number
Cassidian
HR7742AAA02
Cassidian
HR7742AAB02
EADS
HR7742AAA02
EADS
HR7742AAB02

Compatible Devices

Device
Manufacturer
Model
Two-Way Radio Battery
Cassidian
P3G
Two-Way Radio Battery
Cassidian
TPH700
Two-Way Radio Battery
EADS
P3G
Two-Way Radio Battery
EADS
TPH700
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
  • Except Preorder products are shipped in 48 hours.
  • Delivery to the USA:
  1. 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
SKU: 98482157066

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4.7 ★★★★★
Based on 15 reviews
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Product Reviews
S
Verified Purchase
Shannon
Louisville, 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
Lake Worth, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on March 15, 2017
A
Verified Purchase
Adam
Lowell, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026
A
Verified Purchase
Amazon Customer
Alexandria, 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!!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 14, 2017
M
Verified Purchase
mackster
Dallas, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 15, 2018

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