Deep Learning and Neural Networks
Deep Learning and Neural Networks Neural network is a kind of ML algorithm which has got developed, inspired by the functions of an actual human brain. Neural networks has the ability to learn from the inputs. With it's ability to learn by itself, Neural networks opens the gate of possibilities to get a solution to most of the complex problems. The significant progress of neural networks in recent days makes it inevitable towards achieving Artificial Intelligence. A neural network uses the examples to automatically infer rules for recognizing the patterns. By increasing the number of training examples, the network can learn more about the patterns and improve the accuracy. Neural networks truly have the potential to revolutionize the field of Artificial Intelligence. Neural networks are used for classification tasks where an object can fall into one of atleast two different categories. A neural network is highly structured and comes in layers. The first layer is the ...