Selected design thinking tool:

Visualization

Subject Area:  Artificial Neural Network

Challenge:   As a teaching faculty of Computer Science and Engineering handling the course Artificial  Intelligence, I feel it very difficult to make the students to understand the concept of Artificial  Neural Networks.     Selection:   To overcome the above challenge, I have chosen visualization as an effective tool.  Visualization is about using images. It’s not about drawing; it’s about visual thinking.  Visualization through visual imagery has been an effective way to communicate both abstract  and concrete ideas since the dawn of humanity. It pushes us beyond using words or language  alone. It is a way of unlocking a different part of our brains that allows us to think nonverbally  and that managers might not normally use. Here I am using models and images to explain the  concepts of Artificial Neural Networks using visualization technique.    Application

What is the principle behind the information sharing and recognition by  human brain?  A biological neural network is composed of a groups of chemically  connected or functionally associated neurons. A single neuron may be  connected to many other neurons and the total number of neurons and  connections in a network may be extensive. Connections, called synapses,  are usually formed from axons to dendrites, though dendrodendritic  synapses and other connections are possible. Apart from the electrical  signaling, there are other forms of signaling that arise from neurotransmitter  diffusion.

No We can ask the following questions to the students:  What do you understand from the example? After getting variety of answers,  we can explain the concept.

Comparison of Biological Neural Network and Artificial Neural Network

Now replace the nucleus by nodes; information by inputs; axon by network;  impulse carried by feed forward or back propagation. A neural network is a  network or circuit of neurons, or in a modern sense, an artificial neural  network, composed of artificial neurons or nodes.

Insight:  Thus a neural network is either a biological neural network, made up of real biological neurons,  or an artificial neural network, for solving artificial intelligence (AI) problems.    Approach:  Artificial neural network can be explained well using the above tool. So the same visualization  can be used for other topics like bio inspired algorithms such as Genetic Algorithm, Bee Colony  Optimization etc.,


Selected design thinking tool : Visualization Subject Area : Artificial Neural Network Challenge : As a teaching faculty of Computer Science and Engineering handling the course Artificial Intelligence , I feel it very difficult to make the students to understand the concept of Artificial Neural Networks . Selection : To overcome the above challenge , I have chosen visualization as an effective tool . Visualization is about using images . It ’s not about drawing ; it ’s about visual thinking . Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of humanity . It pushes us beyond using words or language alone . It is a way of unlocking a different part of our brains that allows us to think nonverbally and that managers might not normally use . Here I am using models and images to explain the concepts of Artificial Neural Networks using visualization technique . Application What is the principle behind the information sharing and recognition by human brain ? A biological neural network is composed of a groups of chemically connected or functionally associated neurons . A single neuron may be connected to many other neurons and the total number of neurons and connections in a network may be extensive . Connections , called synapses , are usually formed from axons to dendrites , though dendrodendritic synapses and other connections are possible . Apart from the electrical signaling , there are other forms of signaling that arise from neurotransmitter diffusion . No We can ask the following questions to the students : What do you understand from the example ? After getting variety of answers , we can explain the concept . Comparison of Biological Neural Network and Artificial Neural Network Now replace the nucleus by nodes ; information by inputs ; axon by network ; impulse carried by feed forward or back propagation . A neural network is a network or circuit of neurons , or in a modern sense , an artificial neural network , composed of artificial neurons or nodes . Insight : Thus a neural network is either a biological neural network , made up of real biological neurons , or an artificial neural network , for solving artificial intelligence ( AI ) problems . Approach : Artificial neural network can be explained well using the above tool . So the same visualization can be used for other topics like bio inspired algorithms such as Genetic Algorithm , Bee Colony Optimization etc . ,