SKU: 74003663894

Love Inspired Suspense Box Set March 2025

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Love Inspired Suspense Box Set March 2025Mills & Boon Love Inspired Suspense ? Courage. Danger. Faith. Searching For Justice Connie Queen When a teen goes missing from the same place where her own foster sister disappeared, K 9 handler Brynne Taylor is on the case until she? s caught in a lethal trap. Someone doesn? t want her or her Saint Bernard, Fergie, snooping around, and they? re willing to kill to keep their secrets. Saved by rancher Jace Jackson, Brynne reluctantly accepts the single

Mills & Boon Love Inspired Suspense ? Courage. Danger. Faith.

Searching For Justice - Connie Queen

When a teen goes missing from the same place where her own foster sister disappeared, K-9 handler Brynne Taylor is on the case...until she?s caught in a lethal trap. Someone doesn?t want her or her Saint Bernard, Fergie, snooping around, and they?re willing to kill to keep their secrets. Saved by rancher Jace Jackson, Brynne reluctantly accepts the single father’s help solving both cases. But they?re under fire every dangerous step of the way ? and eluding this killer may be as impossible as outrunning Brynne?s past...

Trained To Protect - Terri Reed

K-9 Officer Tarren McGregor never imaged that a cartel would find its way to Texas?s South Padre Island ? or target his best friend?s sister. But when Julia Hamilton witnesses and prevents the kidnapping of a teen girl, Tarren knows that trouble is soon to follow. Because Julia didn?t just protect the girl ? she saw the abductor?s face. Now marked for murder, it?s up to Tarren and his K-9 partner to keep Julia safe from the human traffickers in pursuit...even if it means putting themselves in the line of fire.

Wyoming Ranch Sabotage - Kellie VanHorn

Desperate to rescue her horses from a suspicious fire, rancher Sadie Madsen suddenly finds herself trapped inside the burning barn instead. She?s saved by the one man she never wanted to see again ? her ex-fiancé, Jesse Taylor. Unable to ignore the string of recent ‘accidents’ on her property, Sadie reluctantly accepts the park ranger?s help. But as they investigate and discover family secrets, the attacks escalate. Dangerous killers want Sadie?s land, and luring the culprits into the open is their only hope of escaping a deadly conspiracy...

Hiding The Witness - Deena Alexander

Racing into a burning cabin to search for survivors, firefighter Diana Cameron stumbles upon an unconscious child ? and two bodies with bullet wounds. When a sniper targets their narrow escape, Diana has no choice but to team up with bodyguard Chase Mitchell to keep the little girl safe. Uncovering the identity of the murder victims is the only way to find the killer. But as they?re chased by gunmen into the mountain wilderness, can they protect a tiny witness from the unknown...when the truth is more sinister than they imagined?

Lethal Reunion - Lacey Baker

The last thing Halle Jefferson expects is to receive a chilling threat at her high school reunion ? or the gunshot that follows. It?s been fifteen years since her sister?s unsolved homicide, and now her twin?s killer is back. They want something from Halle, and they?ll stop at nothing to get it. And the only thing standing between her and certain death is her ex-high school sweetheart, Sheriff Kyle Briscoe. Can Halle and Kyle outwit a ruthless murderer and uncover the truth...before they?re silenced for good?

A Dangerous Past - Susan Gee Heino

When police officer and chaplain Gabe Elliot hears a disturbing death-bed confession, he turns to the one person who can help ? the fiancée he left behind ten years ago. As the small town?s archivist, Brinna Jenson has the skills to investigate the fifty-year-old murder. But danger threatens, and a shadowy figure pursues them. If Brinna and Gabe want to claim their second chance at love, they?ll have to survive...

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SKU: 74003663894

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4.2 ★★★★★
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Shannon
Waukegan, 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
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Verified Purchase
William P Ross
Port Orchard, 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
Boise, 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
Lowell, 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
West Palm Beach, 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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