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Description
cactus san pedro comprar Pedro L (Cactus San Pedro) | Planta a DomicilioPedro, la planta, mide 60 centmetros de alto aproximadamente, la altura final del macetero. Foto referencial, las plantas varan en tamao y cantidad de hojas. Acerca de Pedro Pedro, es ideal para decorar tu casa, requiere muy poca agua y es de fcil cuidado. Pedro, tiene parentesco con el cactus Hulk. Lo podr ubicar tanto en el interior como en el exterior de su hogar, y se adaptar a los distintos lugares si es que se cumplirn las condiciones de
- Pedro, la planta, mide 60 centímetros de alto aproximadamente, la altura final del macetero.
- Foto referencial, las plantas varían en tamaño y cantidad de hojas.
Acerca de Pedro
Pedro, es ideal para decorar tu casa, requiere muy poca agua y es de fácil cuidado.
Pedro, tiene parentesco con el cactus Hulk. Lo podrá ubicar tanto en el interior como en el exterior de su hogar, y se adaptará a los distintos lugares si es que se cumplirán las condiciones de cuidados que se mencionarán a continuación.
Cuidados principales
A Pedro le gustan los lugares bien iluminados, incluso con sol directo durante todos los días.
Hay que tener cuidado de no excederse en las frecuencias y cantidades de riego. En verano, una vez a la semana y en invierno cada 15 días aprox.
Puede aguantas temperaturas cercanas a 0º grados, aunque preferiría estar sobre los 5º grados.
También conocido como
Echinopsis pachanoi, cactus de San Pedro, wachuma, gigantón, huachuma, aguacolla
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★★★★★ 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
★★★★★ 5
An Easy Read
Format: Paperback
A good narrative description of how the various systems work. Good for getting a conceptual understanding. No math to speak of, and if you want it, you can refer to the references cited, or your other favorite machine learning book.
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Reviewed in the United States on May 7, 2024