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Practical Deep Learning: A Python-Based Introduction

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Livraison entre le Jeudi 11 juin 2026 et le Vendredi 12 juin 2026

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Marque : GENERIC
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Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep l...

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Description produit
Marque
GENERIC
Titre principal
Practical Deep Learning: A Python-Based Introduction
Editeur
No Starch Press
Type de produit
Paperback
Présentation du livre
Paperback
Release date
2/23/2021 12:00:00 AM
Langue d'origine
English
ISBN
1718500742
Dimensions
7.13 x 0.94 x 9.25 inches
Nombre de pages de livre
464 pages
Langue - Librairie
English
Résumé
Practical Deep Learning teaches total beginners how to build the datasets and models needed to train neural networks for your own DL projects.If you’ve been curious about artificial intelligence and machine learning but didn’t know where to start, this is the book you’ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning teaches you the why of deep learning and will inspire you to explore further.All you need is basic familiarity with computer programming and high school math—the book will cover the rest. After an introduction to Python, you’ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models’ performance.You’ll also learn:How to use classic machine learning models like k-Nearest Neighbors, Random Forests, and Support Vector MachinesHow neural networks work and how they’re trainedHow to use convolutional neural networksHow to develop a successful deep learning model from scratch You’ll conduct experiments along the way, building to a final case study that incorporates everything you’ve learned. The perfect introduction to this dynamic, ever-expanding field, Practical Deep Learning will give you the skills and confidence to dive into your own machine learning projects. Read more
Auteur(s)
Ronald T. Kneusel
Date de parution
2/23/2021 12:00:00 AM