Practical MATLAB Deep Learning: A Project-Based Approach 1st ed. Edition
Nº de artículo: 39988190

Practical MATLAB Deep Learning: A Project-Based Approach 1st ed. Edition

Nº de artículo: 39988190

UYU 2337

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What Stands Out

Hands-On Projects
Engages learners with practical projects that enhance understanding of deep learning. This approach offers responsive, real-world applications of MATLAB, making complex concepts more accessible and easier to grasp.
Beginner Friendly
Designed for newcomers, this book provides clear instructions, step-by-step guides, and supportive resources, making deep learning approachable for those with minimal prior experience in MATLAB or machine learning.
Comprehensive Resource
Serves as a one-stop resource for deep learning in MATLAB, covering essential theories and practical implementations, ensuring readers gain both theoretical knowledge and practical expertise effectively.

Detalles de producto

Shop Practical MATLAB Deep Learning: A Project-Based Approach 1st ed. Edition online at a best price in Uruguay. 1484251237
Publisher Apress
Publication date February 8, 2020
Edition 1st ed.
Language English
Print length 267 pages
ISBN-10 1484251237
ISBN-13 978-1484251232
Item Weight 1.05 pounds (480 grams)
Dimensions 7.01 x 0.63 x 10 inches (17.8 x 1.6 x 25.4 cm)

Who Should Buy?

Suitable For
  • Students in AI

    Ideal for university students pursuing degrees related to artificial intelligence and machine learning using MATLAB.

  • Professional Developers

    Perfect for software developers looking to enhance their skills in deep learning applications with practical MATLAB projects.

  • Research Scientists

    Useful for researchers who want to implement deep learning in their studies using MATLAB-based tools and frameworks.

Not Suitable For
  • Beginners in Programming

    Not suitable for those with no programming experience, as deep learning concepts require a foundational understanding of coding.

DESCRIPCIÓN DEL PRODUCTO

Practical MATLAB Deep Learning: A Project-Based Approach 1st ed. Edition

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Intelligence & Semantics Editorial Review

**Editorial Review of Practical MATLAB Deep Learning: A Project-Based Approach** "Practical MATLAB Deep Learning: A Project-Based Approach" has elicited a mixed response from customers who have attempted to utilize it as a resource for mastering MATLAB. While some readers appreciate the practical examples provided in the book, especially those who use MATLAB in their daily work, others have expressed frustration with aspects of the content. Notably, several users have encountered issues with the accuracy of provided code examples, leading to confusion and obstacles while trying to implement the lessons effectively. Critics have pointed out significant errors, such as the inclusion of non-existent MATLAB commands like "PlotSet," which necessitates manual corrections to the code in order for it to run smoothly. This not only detracts from the learning experience but also raises questions about the reliability of the instructional material. Overall, while the book may have strengths in its approach to practical applications, these issues with coding errors hinder its overall utility for learners seeking a straightforward guide to deep learning in MATLAB. **

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ventajas

  • Practical examples that are relevant for users with daily MATLAB experience.
  • Focus on a project-based learning approach.

Contras

  • Significant inaccuracies in code examples, including non-existent commands.

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