The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!Deep Learning with Python, Third Edition puts the power of deep learning in your hands.This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX
With insights from authors Alex Soto Bueno, Markus Eisele, and Natale Vinto, you'll learn to marry the robustness of Java's enterprise world with the dynamism of AI. It's more than just a how-to--it's a way to elevate enterprise software with savvy AI integrations, ensuring your skills and your applications remain on the cutting edge. Included Index
Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If youâ??re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.
This journal talks about Analysis and Design of Algorithm, Software Engineering, System and Network Security, Ubiquitous and Mobile Computing, Artificial Intelligence and Machine Learning, Algorithm Theory, World Wide Web, Cryptography, as well as other topics in the field of Informatics.
My goal with this book is to cover AI for cyber security, and AI assurance. I use the term AI although I mainly mean machine learning. AI for cyber security refers to the use of ML algorithms to provide defense for information systems.
This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms.
Buku The Asia Foundation
With this book, Python developers will learn the practical tools and concepts they need to use these capabilities today. Index : page 393-403
this book is intended to be a fast-paced introduction to various core features of machine learning and deep learning, with code samples that are included in a university course. Index : page 305-319.
The book Deep Learning with Python (2nd ed.) is about machine learning, neural networks, and programming with Python
This book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. Index : page 811-834.