SKU: 85634856986

Lothlorien Poetry Journal Volume 28

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Lothlorien Poetry Journal Volume 28Welcome to Lothlorien Poetry Journal Volume 28 Messengers. Lothlorien Poetry Journal is a contemporary literary journal featuring free verse rhyming experimental poetry, short stories and flash fiction. Journey with these 73 superb poets and fiction authors as metaphysical messengers on the road. Immerse yourself in poems and stories that linger and haunt. Discover sublime works of fantasy, fairy tale and folklore, dreams and dystopia, nature and

Welcome to Lothlorien Poetry Journal Volume 28 Ð Messengers. Lothlorien Poetry Journal is a contemporary literary journal featuring free verse/rhyming/experimental poetry, short stories and flash fiction. Journey with these 73 superb poets and fiction authors as metaphysical messengers on the road. Immerse yourself in poems and stories that linger and haunt. Discover sublime works of fantasy, fairy tale and folklore, dreams and dystopia, nature and magical realism with romance and anything hiding deep in-between the cracks.

Whenever you have truth it must be given with love, or the message and the messenger will be rejected.
Mahatma Gandhi

Love is the way messengers
from the mystery tell us things
Rumi

I'm a messenger. I'm one piece of a giant jigsaw puzzle.
Simon Sinek

People want to listen to a message, word from Jah. This could be passed through me or anybody. I am not a leader. Messenger. The words of the songs, not the person, is what attracts people.
Bob Marley

As a writer you have a duty to be a messenger.
Jay Griffiths

Coincidence is a messenger sent by truth.
Jacqueline Winspear

Every word is a messenger. Some have wings; some are filled with fire; some are filled with death.
Mary Oliver

Still let my tyrants know, I am not doomed to wear
Year after year in gloom, and desolate despair;
A messenger of Hope comes every night to me,
And offers for short life, eternal liberty.
Emily Bronte

Old and New
by Dejan Stojanovic

If an ancient man saw planes two thousand years ago
He would've thought they were birds
Or angels from another world
Or messengers from other planets.

Every new machine would have surprised himÑ
The car, TV, radio, phone, camera.

He would've thought he was a savage
Who didn't understand.

If he saw a computer,
Watching people talking on the internet,
He would have thought it was a civilization
Much more advanced and ahead of his.

And if he stayed longer among the messengers
He would have learned that every child had the knowledge
And understanding of these things
Or how to use all of them.

Yet, after a while, he would have noticed
That none of them were advanced enough
To be labelled as those who know more
Than the one who said: I know nothing.

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SKU: 85634856986

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4.8 ★★★★★
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Shannon
Bozeman, 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!!
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Reviewed in the United States on November 30, 2025
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William P Ross
Carnegie, 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
New York, 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
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Amazon Customer
Massapequa, 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
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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.
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Reviewed in the United States on May 15, 2018

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