Livres sur le deep learning 🔝

Sorry, but I'm unable to find any information on a book called "Deep Learning in a Disorienting World" by Jon F. Wergin. It's possible that it is a lesser-known or unpublished work.

"Deep Reading, Deep Learning: Deep Reading Volume 2" is a book in the "Studies in Composition and Rhetoric" series. It is available in English Edition. This book explores the concept of deep reading and its connection to deep learning. It delves into the strategies and practices that enable readers to engage in deeper levels of comprehension and understanding. The book also discusses the impact of deep reading on critical thinking, creativity, and overall cognitive development. Written by various contributors, "Deep Reading, Deep Learning: Deep Reading Volume 2" offers insights from different perspectives in the field of composition and rhetoric. It provides a comprehensive analysis of the role of deep reading in the educational process and offers valuable recommendations for educators and researchers. This book is a sequel to the earlier volume, "Deep Reading Volume 1," and expands on the previous discussions and research on deep reading. It is a valuable resource for scholars, educators, and practitioners interested in the intersection of reading, learning, and cognition. Please note that this description is a summary and not the complete contents of the book.

"Deep Learning with Python (English Edition)" by Francois Chollet is a comprehensive book that provides a practical introduction to deep learning using Python programming language. The book covers various deep learning techniques, including convolutional networks, recurrent networks, and reinforcement learning. Chollet, who is the creator of the popular deep learning framework Keras, guides readers through the fundamentals of deep learning and explains how to build and train deep neural networks. The book also explores advanced topics such as generative models, transfer learning, and domain adaptation. The book includes numerous code examples and real-world applications, making it accessible to both beginners and experienced practitioners. It provides a solid foundation in deep learning concepts and techniques, equipping readers with the knowledge and tools needed to apply deep learning to their own projects. Overall, "Deep Learning with Python (English Edition)" is a valuable resource for anyone who wants to learn and understand deep learning using Python.

"Apprendre Python: Un Cours Accéléré sur la Programmation Python et Comment Commencer à l’utiliser pour Coder. Apprenez les Bases de Machine Learning et de l'analyse de Données" de Parker, Damon est un livre qui propose un cours accéléré sur la programmation Python, en mettant l'accent sur la façon de commencer à coder avec Python. Le livre se concentre également sur l'apprentissage des bases du Machine Learning et de l'analyse de données en utilisant Python. Il couvre les concepts de base de la programmation Python, tels que les variables, les boucles, les fonctions, les listes et les dictionnaires. En plus de cela, le livre explore comment utiliser Python pour l'analyse de données en utilisant des bibliothèques telles que NumPy et Pandas. Il plonge également dans les bases du Machine Learning en utilisant des packages tels que Scikit-Learn. Ce livre est idéal pour les débutants en programmation Python qui souhaitent apprendre les bases du codage ainsi que les principes fondamentaux de l'analyse de données et du Machine Learning. Il fournit une introduction pratique et étape par étape à Python et offre des exemples de code clairs et concis pour illustrer chaque concept. Que vous soyez un étudiant, un ingénieur ou un professionnel cherchant à élargir vos compétences, "Apprendre Python: Un Cours Accéléré sur la Programmation Python et Comment Commencer à l’utiliser pour Coder. Apprenez les Bases de Machine Learning et de l'analyse de Données" vous aidera à maîtriser les bases de Python et à commencer à utiliser Python pour coder et analyser des données.