Deep Learning with Keras

Discover the power of Keras for building advanced deep learning models effortlessly. This book provides a hands-on, practical approach to mastering neural networks with Python. You'll explore foundational topics like ConvNets, Recurrent Networks, GANs, and reinforcement learning, all through real-world examples.

What this Book will help me do

• Develop neural network architectures using Keras with step-by-step guidance.
• Apply convolutional and recurrent neural networks for advanced image and sequence data tasks.
• Implement autoencoders and GANs for unsupervised learning applications.
• Explore reinforcement learning techniques for AI applications in game playing.
• Integrate concepts like style transfer and sequence modeling into practical projects.

Author(s)

Antonio Gulli and Sujit Pal are experienced technologists and pioneers in artificial intelligence and machine learning. They bring years of hands-on expertise working with neural networks and real-world applications. Through their writing, they strive to make cutting-edge technologies accessible to developers worldwide.

Who is it for?

This book is perfect for data scientists and AI developers familiar with Python programming and looking to deepen their skills in deep learning. It caters to those with foundational knowledge of machine learning and seeks to provide actionable insights into Keras for practical applications.