50/16
In this book, you’ll start exploring backpropagation and unsupervised neural networks with Unity and C#
Description Learn the fundamental concepts of neural networks and discover different types of neural networks using Unity as your platform. You will then move on to activation functions, such as sigmoid functions, step functions, and so on.
Once you’ve got the basics down, you’ll start programming Unity with C#
The author also explains all variations of neural networks such as feed forward, recurrent and radial. In this section, the author discusses building neural networks for unsupervised learning, representing a neural network in terms of data structures in C#, and replicating a neural network in Unity as a simulation.
Work with Unity and C#
Finally, you will define backpropagation with Unity C#, before compiling your project. What you will learn Discover the concepts behind neural networks.
See the difference between fully connected and convolutional neural networks
Master Neural Network Processing for Windows 10 UWP Who this book is for Gaming professionals, machine and deep learning enthusiasts