This unit will explore neural networks and how they are used in more detail.
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| Level | Technical |
|---|---|
| Partner Details | Dr. Ronjon Nag Dr. Ronjon Nag has an Engineering PhD (Cambridge), an SM in Management Science (MIT) and a B.Sc. in Electrical Engineering (Birmingham). He is president of the R42 Institute and he became a Stanford University Interdisciplinary Distinguished Careers Institute Fellow at the Center for Study for Language and Information in 2016. He works on the Boundaries of Humanity Project looking at intelligence in humans, animals and machines in the age of biotechnology and artificial intelligence. He teaches at Stanford Medical School. He is an active Advisor and Board Member to some 70 AI and Biotech companies. He has also been awarded the IET Mountbatten Medal for contributions to the mobile phone industry. |
| Type | Unit |
• Understand why we use neural networks and the difference between linear and non-linear applications.
• Understand the core components of neural networks.
• Understand how to build a neural network.
• Have explored some real-world applications of neural networks.
