Hands-On Neural Networks with Keras

"Hands-On Neural Networks with Keras" is your guide to understanding, designing, and implementing neural network architectures. Using the Keras framework, you'll explore essential deep learning concepts and practical applications in areas like computer vision and natural language processing, enhancing your ability to integrate AI into your projects.

What this Book will help me do

• Understand core neural network concepts and workflows for predictive data modeling.
• Explore practical applications of CNNs, LSTMs, and GANs using real-world datasets.
• Master data preprocessing techniques, including synthetic data generation and augmentation.
• Adopt architectural strategies for advanced cognitive tasks and AI integration.
• Stay informed on cutting-edge advancements in artificial intelligence research.

Author(s)

None Purkait, an expert in artificial intelligence and the Keras framework, has extensive experience in building and teaching neural network technologies. Their hands-on approach ensures readers gain a strong practical understanding while staying connected to the theoretical aspects of deep learning.

Who is it for?

This book is written for machine learning practitioners, deep learning researchers, and AI enthusiasts who want to gain expertise in building neural network models using Keras. If you have a working knowledge of Python and are looking to advance your deep learning skills to solve real-world problems, this book is for you.