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BEGINNING DEEP LEARNING WITH TENSORFLOW IBD

LIANGQU LONG / XIANGMING ZENG
APRESS
01 / 2022
9781484279144
Inglés

Sinopsis

Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as TensorFlow 2 and Keras. The materials used in this book are based on years of successful online education experience and feedback from thousands of online learners.áYouâÇÖll start with an introduction to AI, where youâÇÖll learn the history of neural networks and what sets deep learning apart from other varieties of machine learning. Discovery the variety of deep learning frameworks and set-up a deep learning development environment. Next, youâÇÖll jump into simple classification programs for hand-writing analysis. Once youâÇÖve tackled the basics of deep learning, you move on to TensorFlow 2 specifically. Find out what exactly a Tensor is and how to work with MNIST datasets. Finally, youâÇÖll get into the heavy lifting of programming neural networks áand working with a wide variety of neural network types such as GANs and RNNs.ááDeep Learning is a new area of Machine Learning research widely used in popular applications, such as voice assistant and self-driving cars. Work through the hands-on material in this book and become a TensorFlow programmer!á á ááWhat YouâÇÖll LearnDevelop using deep learning algorithmsBuild deep learning models using TensorFlow 2Create classification systems and other, practical deep learning applicationsWho This Book Is ForStudents, programmers, and researchers with no experience in deep learning who want to build up their basic skillsets. Experienced machine learning programmers and engineers might also find value in updating their skills.