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Description
Advanced Graphics Mike Pence Life Size Cardboard Cutout StandupBrand: Cardboard People Color: Mike Pence Features: Cardboard Standee Details: Standing size is 22"W x 72"H. Cardboard cutouts are shipped flat and come with pre scored lines and fold out flaps, making assembly easy and quick. Durable and Reusable: Made from high quality, sturdy cardboard, our cutouts are built to last. They can easily be stored and reused for countless occasions, ensuring long lasting enjoyment. When not in use, cardboard cutouts can
Brand: Cardboard People
Color: Mike Pence
Features:
- Cardboard Standee Details: Standing size is 22"W x 72"H. Cardboard cutouts are shipped flat and come with pre-scored lines and fold-out flaps, making assembly easy and quick.
- Durable and Reusable: Made from high-quality, sturdy cardboard, our cutouts are built to last. They can easily be stored and reused for countless occasions, ensuring long-lasting enjoyment. When not in use, cardboard cutouts can be conveniently stored flat to save space. This allows them to be reused for future occasions and events.
- Versatile and Portable Décor: Lightweight and easy to move, our cutouts effortlessly fit into any space, making them perfect as party decorations, promotional displays, point-of-sale marketing tools, event backdrops and photo booth props. They are also favored by fans for adding a touch of fandom to their living spaces. Their blend of artistry, convenience, and versatility makes them a beloved choice for fans, marketers, and event planners alike.
- Memorable Moments: Create memorable moments with family and friends as you pose with life-size representations of your beloved icons. Capture unforgettable photos for your social media posts and reels to share with friends, family, customers and followers.
- Made in America: Proudly manufactured in the USA. Family owned and operated since 1984.
Binding: Kitchen
model number: 2291
Part Number: 2291
EAN: 0082033097110
Package Dimensions: 27.0 x 22.0 x 0.5 inches
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4.2 ★★★★★
Based on 17 reviews
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Product Reviews
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you.
Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021
★★★★★ 5
Before GPT can chat, it has to learn.
Format: Paperback
One of the most comprehensive guides to AI and deep learning available. All concepts covered clearly and concisely with illustrations. Complex concepts are broken down into understandable terms. Even though ML and AI require some complex math, you won’t need it to get idea of what’s going on inside the computer’s “brain”.
I use this as a reference when teaching AI concepts and preparing presentations.
I highly recommend it
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Reviewed in the United States on April 5, 2025
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
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Reviewed in the United States on May 19, 2025
★★★★★ 5
Great for intuitive understanding
Format: Paperback
Amazing book. Great examples and diagrams. If you're looking to get an intuitive grasp of deep learning, look no further. If you're an engineer looking to apply it, I would recommend pairing this with one of the more technical canonical texts and a programming focused book.
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Reviewed in the United States on May 4, 2024
★★★★★ 5
Taught me backpropagation
Format: Paperback
I'm finding this book a great reference to supplement Syracuse IST 691 Deep Learning in Practice. In particular, its explanation of backpropagation is the clearest I have found yet, and that even includes 3 Blue 1 Brown, which always does excellent explanations.
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Reviewed in the United States on April 13, 2025