Neural Networks are computational models inspired by the structure and function of the human brain. They consist of layers of interconnected nodes or "neurons", which process and transmit information. By learning from data, neural networks can identify patterns, make predictions, and classify objects. These capabilities have made neural networks a crucial tool in many applications, including image recognition, speech recognition, and decision-making systems.
As the network trained, the students observed how the accuracy improved, and the network became more confident in its predictions. They were thrilled to see the network correctly classify a few test images, which had not been seen during training. Neural Networks A Classroom Approach By Satish Kumar.pdf