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Ships within 48 hours · Estimated delivery Jul 10 - Jul 15
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Description
plant watering timer indoor 3-Outlet Hose Watering Timer — OrbitCONSERVE WATER: Automate your watering routine, this timer shuts the water off for you, giving your yard just the right amount of water. OVERSIZED FEATURES: Designed for ease of use with its large digital display and intuitive dial. ONE START TIME PER OUTLET: Program your timer to water at the optimal time when evaporation is at its lowest. TIMED WATERING FROM 3 OUTLETS: Set your timer to water anywhere from 1 240 minutes (4 hours). WATERING
- CONSERVE WATER: Automate your watering routine, this timer shuts the water off for you, giving your yard just the right amount of water.
- OVERSIZED FEATURES: Designed for ease of use with its large digital display and intuitive dial.
- ONE START TIME PER OUTLET: Program your timer to water at the optimal time when evaporation is at its lowest.
- TIMED WATERING FROM 3 OUTLETS: Set your timer to water anywhere from 1-240 minutes (4 hours).
- WATERING INTERVALS: Water frequencies can be set to every 6 hours, 12 hours, or from once a day up to once every 7 days.
- RAIN DELAY: Save water by skipping watering cycles after it rains without interrupting your set program. Set a rain delay from 1-3 days.
- MANUAL WATERING: Gives you quick and easy access to water without having to remove the timer or alter your watering schedule.
- EASY ATTACHMENT: The swivel coupling provides a quick and secure connection to your hose or faucet.
- BATTERY OPERATED: Requires two AA batteries (not included).
- PRODUCT SPECIFICATIONS: Working Water Pressure; Minimum: 25 psi Maximum: 100 psi. For outdoor use with cold water only.
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4.8 ★★★★★
Based on 1674 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