SKU: 55939658250

Ajmal Alia Perfume by Ajmal for Women

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Description

Ajmal Alia Perfume by Ajmal for WomenAjmal Alia Perfume by Ajmal for Women Size: 2. 5 oz Eau De Parfum Spray A Bold Oriental Experience Ajmal Alia is a captivating and robust oriental fragrance launched by the esteemed fragrance house, Ajmal, in 2016. Known for its complexity and lasting appeal, Alia offers a luxurious blend of sweet and spicy notes, perfectly suited for the modern woman who embraces elegance and strength. Scent Profile Top Notes: A zesty blend of pink pepper, bergamot,

Ajmal Alia Perfume by Ajmal for Women

Size: 2.5 oz | Eau De Parfum Spray

A Bold Oriental Experience

Ajmal Alia is a captivating and robust oriental fragrance launched by the esteemed fragrance house, Ajmal, in 2016. Known for its complexity and lasting appeal, Alia offers a luxurious blend of sweet and spicy notes, perfectly suited for the modern woman who embraces elegance and strength.

Scent Profile

  • Top Notes: A zesty blend of pink pepper, bergamot, and sour lemon provides an invigorating and sharp introduction, awakening the senses.
  • Heart Notes: The heart of the fragrance unfolds with violet and cardamom, creating a warm, floral-spicy blend that adds depth and complexity.
  • Base Notes: The rich base features earthy cedarwood, vetiver, and patchouli, perfectly balanced with the smoky, luxurious undertones of agarwood (oud), musk, and artemisia.

Key Ingredients

Infused with a harmonious blend of pink pepper, violet, cardamom, and oud, Ajmal Alia strikes a perfect balance between spicy, woody, and floral notes. This complex composition makes it an exceptional choice for women who appreciate a fragrance with depth, elegance, and mystery.

How to Apply

To enjoy the full impact of Ajmal Alia, spray the fragrance onto your pulse points—such as your wrists, neck, and behind the ears. This Eau De Parfum is long-lasting and works beautifully for both day and night wear. A few spritzes will keep you feeling fresh and elegant throughout your day or evening out.

Why Ajmal Alia Stands Out

Ajmal Alia is the perfect fragrance for women who enjoy a sophisticated, spicy, and woody scent profile. With its long-lasting nature and multi-layered composition, this perfume complements a variety of wardrobes and occasions. Whether you're attending a special event or enjoying a casual day out, Alia provides the perfect finishing touch to your ensemble.

Best Season for Ajmal Alia

With its warm, spicy, and woody character, Ajmal Alia is ideally suited for fall and winter. The fragrance's rich and layered notes evoke a sense of warmth and comfort, making it perfect for cooler months when you want to feel enveloped in an aura of elegance and strength.

Occasions to Wear

Ajmal Alia is a versatile fragrance that is perfect for both formal and informal occasions. Whether you're attending an elegant evening gala, a special date, or simply out for a day in the city, this scent will leave a lasting impression.

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SKU: 55939658250

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4.4 ★★★★★
Based on 19 reviews
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Shannon
Omaha, 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
Lowell, 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
Fort Morgan, 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
Chelsea, 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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