SKU: 37207348490

Trio Los Tajuarines - Variedad Tempos Musicales (LP) (Mint (M))

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Description

Trio Los Tajuarines - Variedad Tempos Musicales (LP) (Mint (M))Photos are uploaded from Discogs. Additonal photos of this item can be requested. Thank you Media Condition: Mint (M) Sleeve Condition: Near Mint (NM or M ) This item has been graded according to Goldmine Grading standards. Sealed Notes: Back cover generic Discos Corona A1. La Embarcacion A2. Canta Luis A3. Cielito Lindo A4. La Llorona A5. Los Laureles B1. Las Isabeles B2. La Mulita B3. Hay Hay Hay B4. El Despertador B5. Te He De Querer Barcode and

Photos are uploaded from Discogs. Additonal photos of this item can be requested. Thank you

Media Condition: Mint (M)
Sleeve Condition: Near Mint (NM or M-)

This item has been graded according to Goldmine Grading standards.

Sealed
 

Notes:

Back cover generic Discos Corona

 

A1. La Embarcacion
A2. Canta Luis
A3. Cielito Lindo
A4. La Llorona
A5. Los Laureles
B1. Las Isabeles
B2. La Mulita
B3. Hay Hay Hay
B4. El Despertador
B5. Te He De Querer

 

Barcode and Other Identifiers:

 

 

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Product listed via Disconnect
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SKU: 37207348490

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4.2 ★★★★★
Based on 7 reviews
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MrGee
Phoenix, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021
R
Verified Purchase
R. Cote
Lowell, US
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 5, 2025
R
Verified Purchase
Rafael Azevedo Souza Costa
Natrona Heights, US
★★★★★ 5
Great examples and practical explanations
Format: Paperback
Excellent book. Highly recommend
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 19, 2025
T
Verified Purchase
Thomas
Whiting, US
★★★★★ 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
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Verified Purchase
La Monte HP Yarroll
Waukegan, US
★★★★★ 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

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