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Description
Council Wristwatch - Stainless SteelQuotes: 2B1 ASK1 A CHILD OF GOD, A MAN OF FAITH, A WARRIOR OF CHRIST, I AM THE STORM A LADY AT ALL TIMES A SHARP WITTED MIND HAS THE STRONGEST UNDERSTANDING POWER ALWAYS HELP YOUR BROTHER AUDE VIDE TACE BE BETTER, EVERYDAY, IN EVERY WAY BE THE CHANGE YOU WANT TO SEE IN THE WORLD BE THE EXAMPLE BE THE LIGHT THAT HELPS OTHERS SEE BE THE REASON THEY WONDER BE TRUE TO YOUR WORK, YOUR WORD, AND YOUR FRIENDS BE WITHOUT FEAR, IN THE FACE OF YOUR ENEMIES
Quotes:
- 2B1 ASK1
- A CHILD OF GOD, A MAN OF FAITH, A WARRIOR OF CHRIST, I AM THE STORM
- A LADY AT ALL TIMES
- A SHARP-WITTED MIND HAS THE STRONGEST UNDERSTANDING POWER
- ALWAYS HELP YOUR BROTHER
- AUDE VIDE TACE
- BE BETTER, EVERYDAY, IN EVERY WAY
- BE THE CHANGE YOU WANT TO SEE IN THE WORLD
- BE THE EXAMPLE
- BE THE LIGHT THAT HELPS OTHERS SEE
- BE THE REASON THEY WONDER
- BE TRUE TO YOUR WORK, YOUR WORD, AND YOUR FRIENDS
- BE WITHOUT FEAR, IN THE FACE OF YOUR ENEMIES
- BECAUSE I HAVE A BROTHER, I ALWAYS HAVE A FRIEND
- BELIEVE IN YOURSELF WHEN NO ONE WILL
- BROTHERHOOD OF MAN, FATHERHOOD OF GOD
- BROTHERLY LOVE RELIEF TRUTH
- CHRISTI DETEMPLO
- CRUDELIUS EST QUAM MORI SEMPER TIMERE MORTEM
- DEUS MEUMQUE JUS
- EGO ALPHA ET OMEGA SUM
- EX TENEBRIS LUX
- FAIR AND SQUARE, JUST AND HONEST
- FAITH HOPE CHARITY
- FAITH, HOPE, CHARITY
- FAITH, HOPE, CHARITY, WISDOM, STRENGTH AND BEAUTY
- FATHERHOOD OF GOD BROTHERHOOD OF MAN
- FIAT LUX
- FIDELITY, CONSTANCY, PURITY, FAITH, FERVENCY & ZEAL
- FOR THOSE I LOVE, I WILL DO GREAT AND TERRIBLE THINGS
- FRATERNITY OF FREEMASONS
- FREEMASON
- GEOMETRIA
- GOD AND MY RIGHT
- GOD IS OUR GUIDE
- GOOD, BETTER, BEST
- GUIDED BY THE FIVE POINTS OF LIGHT
- HE WHO KNEELS BEFORE GOD, CAN STAND BEFORE ANYONE
- HEAR, SEE, BE SILENT
- HOLINESS TO THE LORD
- HOMO NIHIL SCIT SINE DOCTRINA
- HONOR GOD, LOVE YOUR FAMILY, DEFEND YOUR COUNTRY
- I AM A STAR
- I AM ALPHA AND OMEGA
- I AM MY BROTHERS KEEPER
- I AM MY SISTAR’S KEEPER
- I SERVE THE ONLY KING WHO CONQUERED DEATH, HELL AND THE GRAVE
- IF THEY STAND AGAINST YOU, SHOW NO MERCY
- IF THEY STAND BEHIND YOU, GIVE THEM PROTECTION
- IF THEY STAND BESIDE YOU, GIVE THEM RESPECT
- IF THOU COMPREHENDEST THESE THINGS THOU KNOWEST ENOUGH
- IF YOU WANT TO INCREASE THE JOY, SHARE WITH OTHERS
- IN ALL THINGS, TRUST GOD
- IN DOMINUS SPES
- IN HOC SIGNO VINCES
- IN MEMORY OF HIRAM ABIFF
- IN THIS SIGN, YOU WILL CONQUER
- KEEP CALM AND BE A LADY
- LET THERE BE LIGHT
- LET YOUR LIGHT SHINE
- LEVAMEN SODALITAS VERITAS
- LIBER ORDINIS TEMPLI
- LIGHT FROM DARKNESS
- LIGHT OUT OF DARKNESS
- LIVE LONG - RIDE HARD - RAISE MASONS
- LUX E TENEBRIS
- MAKE A DIFFERENCE, RISE AND SHRINE
- MAKING GOOD MEN BETTER
- MAN'S REAL GENIUS AND KNOWLEDGE REMAINS PRESERVED IN BOOKS
- MASONIC
- MASONS AREN’T MADE, WE’RE BORN AND RAISED
- MASTER MASON
- MAY THE LIGHT INSIDE ME, BE THE LIGHT AROUND YOU
- MEET ON THE LEVEL & PART UPON THE SQUARE
- MEMENTO MORI
- MORE THAN A MAN. A BETTER MAN
- MY HOPE IS IN GOD
- MY SCARS TELL A STORY
- N.N.D.N.N. S.N.T.D.G.
- NEVER LOOK DOWN ON SOMEONE, UNLESS YOU’RE HELPING THEM
- NEVER OVER, NEVER UNDER, ALWAYS ON THE LEVEL
- NIL NISI CLAVIS DEEST
- NO MAN STANDS SO TALL AS WHEN HE STOOPS TO HELP A CHILD
- NO ONE BUILDS ALONE
- NO ONE HAS EVER BECOME POOR FROM GIVING
- NON NOBIS DOMINE NON NOBIS
- NON NOBIS, DOMINE, NON NOBIS, SED NOMINI TUO DA GLORIAM
- NOT FOR US, MY LORD, NOT FOR US, BUT TO YOUR NAME GIVE THE GLORY
- NOT JUST A MAN, A MASON.
- NOTHING BUT THE KEY IS WANTING
- NURTURING, WITNESSING, AND PROTECTING THE FAITH; AND SERVING THE POOR AND THE SICK.
- ONCE YOU AWAKE, IT’S HARD TO GO BACK TO SHEEP
- ORDER FROM CHAOS
- ORDO AB CHAO
- OUTLAWED AND MY ORDERS MUST BE OBEYED
- PAST MASTER
- PATERNUS DEUS HUMANA FRATERNITAS
- PEOPLE WHO SHINE FROM WITHIN DON’T NEED SPOTLIGHT
- PROTECT THE HELPLESS AND DO NO WRONG
- PROUD TO BE A FREEMASON
- RADIATE LOVE
- RAISED A MASON, BRANDED A WIDOW’S SON
- REMEMBER YOUR MORTALITY
- RISE AND SHRINE
- SCOMAND BARBERA
- SECRET TEMPLE
- SEE THE LIGHT OF TRUTH AND NEVER LOSE SIGHT AGAIN
- SEEK LIGHT
- SHARE YOUR WISDOM
- SIGNUM MILITI TEMPLI
- SISTERHOOD IS NOT A DESTINATION, IT IS A JOURNEY...
- SIT LUX ET FUIT LUX
- SONS OF LIGHT
- SPEAK THE TRUTH ALWAYS, EVEN IF IT MEANS YOUR LIFE
- SPEAK WITH HONESTY, THINK WITH SINCERITY, ACT WITH INTEGRITY
- SPES MEA IN DEO EST
- STAND BRAVE & UPRIGHT, THAT THE LOVE MAY LOVE THEE
- STRENGTH AND FURY
- TAKING GOOD MEN, MAKING THEM BETTER
- TALIA SI JUNGERE POSSIS SIT TIBI SCIRE SATIS
- TEMPLE OF CHRIST
- TEMPLI SECRETUM
- TEMPLI XPISTI SIGILLUM MILITUM
- THAT WHICH WE DO FOR OURSELVES DIES WITH US … THAT WHICH WE DO FOR OTHERS LIVES FOREVER
- THE BROTHERHOOD OF MEN, UNDER THE FATHERHOOD OF GOD
- THE FULL ARMOUR OF GOD
- THE HARDER THE ROAD, THE MORE SKILLED ITS TRAVELER
- THE SEAL OF A SOLDIER OF CHRIST
- THE WORLD NEED BETTER MEN
- TO DO WHAT IS RIGHT, YOU MUST BE GUIDED BY THE FIVE POINTS OF LIGHT
- TO LEAD PEOPLE, WALK BEHIND THEM
- TO LOSE IT ALL, RISE UP AGAIN, IT’S THE SIGN OF A MASON
- TRAVELING MAN
- TRUE BEAUTY LIES IN GOD’S HANDWRITING
- TUITIO FIDEI ET OBSEQUIUM PAUPERUM
- VIRTUE AND HONOR UNOPPOSED
- VIRTUS JUNXIT, MORS NON SEPARABIT
- VIRTUS TACITUS ET FIDES
- WE ARE A BAND OF BROTHERS
- WE ARE A NATION OF BUILDERS
- WE COME TOGETHER, IN UNITY, LOVE, HARMONY AND PEACE
- WE HAVE SEEN HIS STAR IN THE EAST, AND ARE COME TO WORSHIP HUN
- WE LIVE BY A SPECIAL CODE
- WE LIVE WITH HONOR
- WE MUST LIVE TOGETHER AS BROTHERS, OR PERISH TOGETHER AS FOOLS
- WE MUST PASS THROUGH THE DARKNESS, TO REACH THE LIGHT
- WE RISE BY LIFTING OTHERS
- WE WERE BORN TO BE WARRIORS
- WHAT VIRTUE HAS UNITED, DEATH SHALL NOT SEPARATE
- WIDOWS SONS
- WILL IS THE DYNAMIC SOUL-FORCE
- WISDOM IS FOUND ONLY IN TRUTH
- WISDOM IS GIVEN TO A MAN, UNTIL HE ASKS FOR IT
- XPISTI SIGILLUM MILITUM
Council Wristwatch - Stainless Steel
Unlike other watches, this wristwatch carries your favorite masonic design inside. This watch features a stainless steel bracelet and round case of 40mm. Reliable Japanese-quartz Crystal Movement Technology for Accurate Time and Absolutely Quiet Environment Guarantees.
Prepared with quality workmanship and perfect printing technology, this Wristwatch will be a perfect gift for your freemason brother!
- Water Resistance Depth: 3Bar
- Movement: Quartz
- Feature: Water Resistant
- Dial Window Material Type: Glass
- Dial Diameter: 40mm
- Clasp Type: Buckle
- Case Thickness: 8mm
- Case Shape: Round
- Case Material: Alloy
- Boxes & Cases Material: Paper
- Band Width: 20mm
- Band Material Type: Stainless steel
- Band Length: 25cm
Personalize it for FREE with your name, lodge n° and quote for FREE!
If you'd like to customize your watch with your own logo, please email us!
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4.0 ★★★★★
Based on 2161 reviews
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Product Reviews
★★★★★ 5
Excellent book, possibly currently unique in coverage of latest ideas
This book is possibly currently unique in its coverage of the latest ideas in the field of deep learning -- and it is a very convenient and good survey of fundamental concepts (linear algebra, optimization, performance metrics, activation function types), different network types (multi-layer perceptron, convolutional neural networks, and recurrent neural networks), practical considerations (data set, training and validation, implementation), and applications (comments on existing real-world/commercial uses). The final 235 pages of the content portion of the book is dedicated to topics in "Deep Learning Research", and these topics are truly at the current frontier.
Another reviewer said that one could gain the same knowledge of cutting-edge research by reading all of the latest papers (from academia and industry), but the "research" section of this book offers the following: Selection of the most notable research by the very experienced authors of the book, and collection of similar research in to a broader discussion of themes, and the additional insights. The book covers very advanced and new ideas currently being explored, and it is very nice to be able to have a consistent and coherent presentation of all of those ideas.
However, the book is also packed with valuable observations and pointers about more basic aspects of deep learning implementations and practices -- and such commentary is in depth and includes substantial analysis and mathematical derivation (in an intuitive presentation that often includes graphs illustrating the phenomenon).
As someone with an intermediate level of knowledge and experience of neural networks, I am really grateful for this book, because seems like the ideal resource for learning cutting-edge ideas and practices, with context. The book has excellent scope and depth, and I am confident that anyone with a solid background in linear algebra, calculus, statistics, and general machine learning, and basic neural networks (multi-layer perceptrons) will find this book to be very exciting and perhaps unique in its ability to take the reader to the next level and a new frontier. I was personally excited to learn about the idea of representing the dependencies of intermediate quantities by directed graphs, and how this can be used to perform calculations for recurrent neural networks efficiently. And I think the long chapter on recurrent neural networks is very helpful.
Having said all of this, I think only people with significant working knowledge and experience with neural networks and mathematics -- people whose academic or professional focus has been neural networks for at least a year or two -- would benefit from this book. This book answers a lot of the deeper questions that one is likely to have while developing a solid understanding of the fundamentals, and that's one of the book's tremendous values, but this book assumes an understanding of the fundamentals (but does briskly cover the basics).
I think this book is a perfect follow-up book for the excellent book "Neural Network Design (2nd edition)" by Hagan, Demuth, Beale, and de Jesus, and I highly recommend the latter for gaining the solid background needed to have a thrilling experience with the "Deep Learning" book.
In summary, I am very glad this "Deep Learning" book was written, and I think the "Deep Learning" book will be a great benefit to a lot of people, and to the evolution of the field.
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Reviewed in the United States on April 18, 2017
★★★★★ 5
The definitive guide to becoming a researcher in the field
Format: Hardcover
This is not a coding book. I see a lot of negative reviews around the expectation that this book would teach the reader how to quickly build machine learning systems and write code. This book is not for that audience.
If you just want to build applications, don't worry about how deep learning works. It's akin to needing to understand how an engine works just to drive a car. If you are looking for a coding resource, try: https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_4?keywords=machine+learning+tensorflow&qid=1579608765&sr=8-4 . And even with that book, the material still goes far beyond what you need - use it as a light reference.
I bought this book as an aspiring machine learning researcher, and towards that end, it is the best resource available in print (still true as of 2020). For instance:
The first 5 chapters are timeless. These are things that were mostly established 20 or 30 years ago and beyond and are mostly STEM fundamentals at this point. There are whole textbooks dedicated to each of those chapters, but the authors provide a quick refresher and overview of probably 80% of what you'll encounter in deep learning. If you haven't previously learned each of these subtopics, you'll probably want to study them individually since they are the key to innovating (linear algebra, probability & stats, numerical computation, machine learning fundamentals).
Chapters 6 thru 9 are the foundation of deep learning. We're about 12 years into seeing rapid change in the deep learning space, yet all of these principles and techniques still hold (many recent innovations are still relying on Convolutional models in 2020, which is the most layered/complex topics in those chapters). Therefore, I'd wager that these chapters are also fairly stable knowledge that is worth internalizing if you want to be deeply involved in the future of machine learning.
Chapters after 9 are mostly experimental topics, and many of them are already the wrong strategies for optimal results. But there are interesting ideas in here that you'll often encounter in the wild, so it's good exposure to various topics. But probably not worth much of your time.
And lastly, there is good history in here from people who know the space intimately. It's a good way to piece together the developments and learn the lexicon of deep learning so you can have intelligent conversation with experts.
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Reviewed in the United States on January 21, 2020
★★★★★ 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
★★★★★ 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
★★★★★ 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