Learn the core concepts of neural networks and discover the different types of neural network, using Unity as your platform. In this book you will start by exploring back propagation and unsupervised neural networks with Unity and C#. You’ll then move onto activation functions, such as sigmoid functions, step functions, and so on. The author also explains all the variations of neural networks such as feed forward, recurrent, and radial.Once you’ve gained the basics, you’ll start pr...

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi...

Neglected Social Theorists of Color: Deconstructing the Margins provides a novel contribution to the ongoing debates concerning the canon in contemporary sociological theory. In particular, the editors argue that many scholars whose work may hold significant potential for contributions to contemporary debates in social theory go unrecognized. Still others, while not completely ignored, have fallen victim to a cultural and political climate not receptive to their work. Feminist sch...