Bharatendra Rai

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R ...

Marek Krajewski

Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance...

Richard Bullington-McGuire , Andrew K. Dennis , Michael Schwartz

Docker is the de facto standard for containerizing apps, and with an increasing number of software projects migrating to containers, it is crucial for engineers...

Claus Matzinger

Rust 2018, Rust's first major milestone since version 1.0, brings more advancement in the Rust language. The Rust Programming Cookbook is a practical guide ...

Kaushik Balakrishnan

Advances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book...

Giuseppe Ciaburro

Keras 2.x Projects explains how to leverage the power of Keras to build and train state-of-the-art deep learning models through a series of practical projects t...

Niloy Purkait

Neural networks are used to solve a wide range of problems in different areas of AI and deep learning. Hands-On Neural Networks with Keras will start with te...

John Hany , Greg Walters

With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book high...

Subhashini Tripuraneni , Charles Song

From data wrangling through to translating text, you can accomplish this and more with the artificial intelligence and machine learning services available on AW...