A neural network is a type of machine learning which models itself after the human brain, creating an artificial neural network that through an algorithm allows the computer to learn by incorporating new data.
While there are plenty of artificial intelligence algorithms these days, neural networks are able to perform what has been termed deep learning. While the basic unit of the brain is the neuron, the essential building block of an artificial neural network is a perceptron which accomplishes simple signal processing, and these are then connected into a large mesh network.
The plan of this activity is to sort up to 5 different objects into diffirent categories and then the final target.
Paper cups
Masking tape
Beads(variety; colour, shape, size, etc.)
Q: How does the target data change your network?
Q: How are artificial neural networks similar to human neural networks?
Q: How does an artificial neural network drive AI to solve problems?
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