This course contains 21 interactive screencasts
Robert is a full stack engineer, and the lead developer of the Brain.js library. He has a unique ability to explain complex concepts in a manner that everyone can understand.Follow me on twitter
What you'll learn
Good luck, and welcome to the exciting world of neural networks!
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Neural networks are a specific set of algorithms within machine learning. They are inspired by biological neural networks and the current so-called deep neural networks and have proven to work quite well.
Neural networks are biologically-inspired programming concept which enables a computer to learn from observational data. Deep learning is a set of techniques for learning in neural networks.
In short, neural networks can be used for solving business problems such as forecasting, customer research, data validation, and risk management. A more fun use could be to teach a neural network to play Mario cart.
Ability to learn and model non-linear and complex relationships, which is really important because in real-life, many of the relationships between inputs and outputs are non-linear as well as complex.