Advanced Deep Learning with Keras

Dive into the world of advanced AI development with "Advanced Deep Learning with Keras". This book takes you through cutting-edge techniques such as autoencoders, GANs, VAEs, and reinforcement learning, empowering you to build sophisticated AI systems with Keras and TensorFlow. With practical examples, you'll gain hands-on experience building models that achieve state-of-the-art performance.

What this Book will help me do

• Understand advanced deep learning principles, including autoencoders, GANs, and VAEs.
• Implement deep learning models using Keras and TensorFlow, leveraging advanced architectures like ResNet.
• Develop skills to apply GANs and VAEs for generative model tasks.
• Master reinforcement learning algorithms, including Deep Q-Learning and Policy Gradient Methods.
• Enhance your ability to create high-performance AI products for practical and innovative applications.

Author(s)

Rowel Atienza is a leading researcher and professor specializing in deep learning and AI technologies. With years of experience in both academia and industry, he brings deep technical expertise and a clear teaching methodology to this book. He is devoted to empowering learners and professionals alike to explore advanced deep learning techniques.

Who is it for?

This book is designed for developers and data scientists who have foundational knowledge of machine learning and python programming. If you're looking to extend your understanding into deep learning architectures and practical AI implementations, this book is for you. Familiarity with concepts like CNNs or RNNs is helpful, but the book is accessible even if Keras or TensorFlow are new to you.