Basic idea about Neural Networks
Deep Learning is a subfield of Machine Learning, concerned with algorithms inspired by the human brain. Deep learning is not a newborn technology. The history of Deep Learning can be traced back to 1943 when Walter Pitts and Warren McCulloch created a computer model based on the neural networks of the human brain. Neural Network Basic Structure How the Neural Network Works? •The raw data is first fed to the perceptrons of the Input Layer. •The data along with the bias traverses along the middle layers, also known as Hidden layers till it reaches the terminal layer and gives a random output. •The Input Layer works only as the gateway to the neural network, it is not responsible for anything except for just Inputs. •Hidden Layers on the other side have the biggest role to play. In the middle layers, we have something in common in every node, which is an activation function. •Various Activation functions like ReLu, Sigmoid, Leaky ReLu...