"Stan Franklin is the perfect tour guide through the contemporary interdisciplinary matrix of artificial intelligence, cognitive science, cognitive neuroscience, artificial …
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural …
Incorporate deep learning into your development projects through hands-on coding and the latest versions of deep learning software, such as …
Unlock the groundbreaking advances of deep learning with this extensively revised new edition of the bestselling original. Learn directly from …
Take the next steps toward mastering deep learning, the machine learning method that’s transforming the world around us by the …
Tackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies …
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and …
Summary Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. …
Build your Machine Learning portfolio by creating 6 cutting-edge Artificial Intelligence projects using neural networks in PythonKey FeaturesDiscover neural network …
This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus …
Deep Learning: Methods and Applications provides an overview of general deep learning methodology and its applications to a variety of …
Can machine learning deliver AI? Theoretical results, inspiration from the brain and cognition, as well as machine learning experiments suggest …
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in …
Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python)
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the …
This clearly-structured, classroom-tested textbook/reference presents a methodical introduction to the field of CI. Providing an authoritative insight into all that …
The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical …
How does the mind work? How is data stored in the brain? How does the mental world connect with the …
Accelerate deep learning and other number-intensive tasks with JAX, Google’s awesome high-performance numerical computing library. In Deep Learning with JAX …
In Deep Learning with JAX you will learn how to • Use JAX for numerical calculations • Build differentiable models …
Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In Build …