Neural Networks in Unity: C# Programming for Windows 10 - Softcover

Manisha Biswas is BTech in Information Technology and currently working as Data Scientist at Prescriber360,in kolkata, India.She is involved with several areas of technology including Web Development, IoT,Soft Computing and Artificial Intelligence.She is an Intel Software Innovator and was also awarded the SHRI DEWANG MEHTA IT AWARDS 2016 by NASSCOM,a certificate of excellence for top academic scores. She is founder of WOMEN IN TECHNOLOGY,Kolkata a tech community to empower women to learn and explore new technologies.She always like to invent things,create something new,or to invent a new look for the old things. When not in front of my terminal, She is an explorer,a traveller,a foodie, a doodler and a dreamer.She is always very passionate to share her knowledge and ideas with others.She is following her passion and doing the same currently by sharing her experiences to the community so that others can learn and give shape to her ideas in a new way this lead her to become Google Women Techmakers Kolkata Chapter Lead.

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 programming Unity with C#. In this section the author discusses constructing 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. Finally, you’ll define back propagation with Unity C#, before compiling your project.

You will: