Pay in installments of $37.49 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 4 - Aug 9
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
Noli Me TangereUnveiling the Masterpiece: Noli Me Tangere by Alonzo Cano Historical Context of Noli Me Tangere: A Glimpse into 17th Century Spain The Influence of the Spanish Golden Age on Art The Spanish Golden Age, spanning the late 15th to the early 17th century, marked a period of immense cultural and artistic flourishing. This era produced remarkable works that reflected the complexities of Spanish society, religion, and politics. Artists like Alonzo Cano
Unveiling the Masterpiece: Noli Me Tangere by Alonzo Cano
Historical Context of Noli Me Tangere: A Glimpse into 17th Century Spain
The Influence of the Spanish Golden Age on Art
The Spanish Golden Age, spanning the late 15th to the early 17th century, marked a period of immense cultural and artistic flourishing. This era produced remarkable works that reflected the complexities of Spanish society, religion, and politics. Artists like Alonzo Cano emerged during this time, blending religious fervor with innovative techniques. The Golden Age's emphasis on realism and emotional depth profoundly influenced Cano's approach to painting.Alonzo Cano: Life and Artistic Journey
Alonzo Cano (1601-1667) was a prominent Spanish painter, sculptor, and architect. Born in Granada, he trained under the renowned painter Francisco Pacheco. Cano's artistic journey took him through various cities, including Seville and Madrid, where he developed a unique style that combined elements of realism and idealism. His works often featured religious themes, showcasing his deep understanding of spirituality and human emotion.Religious Themes in Baroque Art
Baroque art is characterized by its dramatic expressions and intricate details, often conveying religious narratives. In "Noli Me Tangere," Cano captures the moment when Mary Magdalene encounters the resurrected Christ. This theme of resurrection and divine revelation resonates deeply within the Baroque tradition, emphasizing the emotional and spiritual connection between the figures.Symbolism and Interpretation: Decoding Noli Me Tangere
The Significance of Touch: Exploring the Title's Meaning
"Noli Me Tangere," which translates to "Do not touch me," encapsulates a profound moment of spiritual awakening. This phrase, spoken by Christ to Mary Magdalene, symbolizes the transition from earthly to divine understanding. The title invites viewers to reflect on the nature of faith and the boundaries between the sacred and the profane.Key Figures in the Painting: Mary Magdalene and Christ
In the painting, Mary Magdalene is depicted with a mixture of joy and sorrow, embodying the human experience of loss and hope. Christ, portrayed with a serene expression, represents divine love and forgiveness. Their interaction is rich with emotional depth, inviting viewers to contemplate the significance of their relationship and the broader themes of redemption.Color Palette and Its Emotional Impact
Cano's use of color in "Noli Me Tangere" is striking. The warm earth tones contrast with the cooler hues surrounding Christ, highlighting his divine nature. This deliberate choice of colors evokes a sense of tranquility and reverence, drawing the viewer into the emotional landscape of the scene.Artistic Techniques: The Craftsmanship of Alonzo Cano
Oil Painting Techniques: Layering and Glazing
Cano employed advanced oil painting techniques, including layering and glazing, to achieve depth and luminosity in his works. These methods allowed him to create rich textures and subtle transitions between light and shadow, enhancing the overall visual impact of "Noli Me Tangere."Composition and Perspective: Guiding the Viewer's Eye
The composition of "Noli Me Tangere" is masterfully arranged. Cano uses diagonal lines and strategic placement of figures to guide the viewer's eye through the painting. This dynamic perspective creates a sense of movement and engagement, drawing the audience into the narrative.Textural Elements: The Use of Light and Shadow
Cano's skillful manipulation of light and shadow adds a dramatic quality to the painting. The interplay of light highlights the emotional expressions of Mary Magdalene and Christ, while shadows create depth and dimension. This technique enhances the spiritual atmosphere, inviting viewers to experience the moment of revelation.Cultural Impact: Noli Me Tangere in Art History
Influence on Contemporary Artists and Movements
"Noli Me Tangere" has left a lasting legacy in the art world. Its themes of resurrection and divine encounter continue to inspire contemporary artists. Many modern interpretations draw from Cano's emotional depth and technical mastery, showcasing the painting's relevance across centuries.Depictions of Noli Me Tangere in Modern Media
The story of "Noli Me Tangere" has transcended visual art, appearing in literature, film, and theater. These adaptations explore the themes of love, loss, and redemption, reflecting the painting's enduring impact on cultural narratives.Art Exhibitions and Collections Featuring the Painting
"Noli Me Tangere" is housed in prestigious collections, including the Museo del Prado in Madrid. This masterpiece is often featured in exhibitions that celebrate Baroque art, drawing art enthusiasts and scholars eager to explore Cano's contributions to the genre.Personal Reflections: Experiencing Noli Me Tangere
Visiting Museums: Where to See the Original
To experience "Noli Me Tangere" in person, visit the Museo del Prado, where it is prominently displayed. The museum offers a rich context for understanding Cano's work and the Baroque period, making it a must-see for art lovers.Emotional Reactions: What the Painting Evokes
Viewers often report a profound emotional response when encountering "Noli Me Tangere." The painting evokes feelings of hope, spirituality, and introspection, prompting reflections on personal faith and the nature of divine love.Engaging with Art: Tips for Appreciating Baroque Masterpieces
To fully appreciate "Noli Me Tangere," take time to observe the details. Notice the expressions, the use of color, and the interplay of light and shadow. Consider the historical context and the emotions conveyed through the figures. Engaging with the artwork on multiple levels enhances your understanding and enjoyment.FAQs about Noli Me Tangere by Alonzo Cano
What is the story behind Noli Me Tangere?
"Noli Me Tangere" depicts the moment when Mary Magdalene encounters the resurrected Christ, capturing the essence of hope and divine revelation.What are the main themes depicted in the painting?
The painting explores themes of resurrection, love, and the transition from earthly to divine understanding, emphasizing the emotional connection between Mary Magdalene and Christ.How does Alonzo Cano's style differ from other Baroque artists?
Cano's style is characterized by a unique blend of realism and idealism, with a focus on emotional depth and spiritual themes, setting him apart from his contemporaries.What techniques did Alonzo Cano use in Noli Me Tangere?
Cano utilized oil painting techniques such as layering and glazing, along with masterful use of light and shadow, to create depth and emotional resonance in the painting.Where can I find more information about Alonzo Cano's works?
For more information about Alonzo Cano, explore art history books, museum collections, and online resources dedicated to Baroque art and its influential figures.FAQs about Noli Me Tangere Reproductions
What should I consider when purchasing a reproduction of Noli Me Tangere?
When purchasing a reproduction, consider the quality of materials, the artist's technique, and the level of detail. A high-quality painting reproduction will capture the essence of Cano's original work far better than a simple print.How can I ensure the quality of a painting reproduction?
Look for reproductions created by skilled artists who specialize in oil painting techniques. Ensure that the reproduction uses high-quality canvas and paints to reflect the vibrancy and depth of the original artwork.Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- 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
4.6 ★★★★★
Based on 23 reviews
Sort
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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!!
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 22, 2026