Generative Deep Learning, 2nd Edition 
by David Foster
Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.The book starts with the...
Price: $69.99 | Publisher: O'Reilly Media | Release: 2023
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition
by Aurelien Geron
Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help yo...
Price: $21.99 | Publisher: O'Reilly Media | Release: 2022
Practical AI for Healthcare Professionals
by Abhinav Suri
Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical pr...
Price: $41.49 | Publisher: Apress | Release: 2022
Applied Deep Learning with TensorFlow 2, 2nd Edition 
by Umberto Michelucci
Understand how neural networks work and learn how to implement them using TensorFlow 2.0 and Keras. This new edition focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects.This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, opt...
Price: $48.23 | Publisher: Apress | Release: 2022
Automated Deep Learning Using Neural Network Intelligence
by Ivan Gridin
Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides techniques to facilitate your deep learning model development.The first chapters of this book cover the basics of NNI toolkit usage and methods for solving hyper-par...
Price: $42.96 | Publisher: Apress | Release: 2022
by Thushan Ganegedara
In TensorFlow in Action, you'll dig into the newest version of Google's amazing TensorFlow framework as you learn to create incredible deep learning applications. Author Thushan Ganegedara uses quirky stories, practical examples, and behind-the-scenes explanations to demystify concepts otherwise trapped in dense academic papers. As you dive into modern deep learning techniques like transformer and...
Price: $51.99 | Publisher: Manning | Release: 2022
Deep Learning with TensorFlow and Keras, 3rd Edition
by Amita Kapoor, Antonio Gulli, Sujit Pal
Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available.TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible...
Price: $44.99 | Publisher: Packt Publishing | Release: 2022
Natural Language Processing with TensorFlow, 2nd Edition
by Thushan Ganegedara
Learning how to solve natural language processing (NLP) problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you how to solve common real-world NLP problems with a variety of deep learning model architectures.The book starts by getting readers...
Price: $37.99 | Publisher: Packt Publishing | Release: 2022
by Dino Esposito, Francesco Esposito
ML.NET brings the power of machine learning to all .NET developers and Programming ML.NET helps you apply it in real production solutions. Modeled on Dino Espositos best-selling Programming ASP.NET, this book takes the same scenario-based approach Microsofts team used to build ML.NET itself. After a foundational overview of ML.NETs libraries, the authors illuminate mini-frameworks (ML Tasks) for regression,...
Price: $34.56 | Publisher: Microsoft Press | Release: 2022
Time Series Forecasting in Python
by Marco Peixeiro
Time Series Forecasting in Python teaches you to build powerful predictive models from time-based data. Every model you create is relevant, useful, and easy to implement with Python. You'll explore interesting real-world datasets like Google's daily stock price and economic data for the USA, quickly progressing from the basics to developing large-scale models that use deep learning tools like Tens...
Price: $59.99 | Publisher: Manning | Release: 2022