Deep Learning For Dummies
(Autor) John Paul MuellerTake a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.
John Paul Mueller
John Paul Mueller is a prolific author known for his technical books on programming and computer technology. His writing style is clear, concise, and accessible, making complex topics easy to understand for readers of all levels. Mueller's most notable works include "Python for Data Science For Dummies," "C++ All-in-One For Dummies," and "Machine Learning For Dummies." He has made significant contributions to the field of computer science and is highly regarded for his expertise in programming languages and data analysis. Mueller's work has had a lasting impact on the literary genre of technical books, and his books are widely used as essential resources for programmers and data scientists. His most famous work, "Python for Data Science For Dummies," has become a go-to guide for those looking to learn and master Python for data analysis and machine learning.