Gives a brief overview of several popular neural network types, such as Hopfield, Feedforward, Elman, Jordan, radial basis function and self organizing maps.
Duration : 0:9:35
Gives a brief overview of several popular neural network types, such as Hopfield, Feedforward, Elman, Jordan, radial basis function and self organizing maps.
Duration : 0:9:35
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in.
Duration : 0:48:45
http://xoax.net/
This neural networks video lesson demonstrates how a single-layer perceptron works, is programmed, and can be used to analyze data.
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Duration : 0:4:20
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,IIT, Kharagpur . For more details on NPTEL visit nptel.iitm.ac.in.
Duration : 1:0:46
Artificial neural network driven mobile robots learn how to drive on roads in simulation. The neural networks are evolved using Ken Stanley’s HyperNEAT algorithm. Computational Intelligence Group Czech technical University in Prague 2008
Duration : 0:2:47
Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Duration : 1:0:0
Lectures by Prof. Laxmidhar Behera, Department of Electrical Engineering, Indian Institute of Technology, Kanpur. For more details on NPTEL visit http://nptel.iitm.ac.in
Duration : 0:58:49
http://cg.skeelogy.com/knowledge-ai.php#nn
The enemy robots in this mini-game uses neural networks (NN) to do decision making. Prior to what you see here, the NN has undergone some training so that it has learnt how to react based on a human player’s reactions.
Notice these things about the trained robots in the video:
i) They approach me when I’m near and stop to attack when they are in shooting distance. They approach me again when I back away.
ii) Once their HP is low, they know that they should flee instead of trying to attack again
iii) Although they have started to flee, they try to attack me again when I’m not facing them. Once I point the cursor at them, they know that they should flee, even though I haven’t even started shooting. This implies that they are especially good at back attacks.
And all these are done by simply training the neural networks.
Note: The fleeing in a zig-zag manner is procedural and not done by the neural networks.
Duration : 0:0:45
Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department of Computer Science & Engineering, IIT Kharagpur. For more Courses visit http://nptel.iitm.ac.in
Duration : 0:59:55