Techie-hunger

  Feed-Forward Neural Network Feed-forward neural networks are the networks in which information flows only in the forward direction. They are also termed a  multi-layered network of neurons. The data initially enters the input layer, then flows across the hidden layers, and finally comes out through the output layer. There is no connection to feed the output back to the network. Let us understand the working of Feed-Forward Neural Network with a sample problem- prediction of weather. Let the inputs be-                                      x1=day/night                                      x2=temperature                                      x3=month let's assume the threshold value as 15. If the ou...

TYPES OF  NEURAL NETWORKS The working of neural networks is similar to human brains in terms of decision-making. Neural networks differ from one another due to their unique principles used in framing rules . There are different types of neural networks - Feed-Forward Neural Network, Radial Basis Function Neural Network, Multilayer-Perceptron, Convolution Neural Network, Recurrent Neural Network, etc.  The neurons receive input  from previous layers, then process it and send it to the upcoming layers. Weights, activation functions plays  important role in determining the strength of the input.  Let us understand how neural networks work. Neural networks working is similar to the nervous system of the human body.  It comprises one input layer, two or more  hidden layers, and finally one output layer. Neural Network Let us consider an image called “9”, as an input, which is of 26x26 pixels. All together 26x26=676 are sent into the input layer. All ne...

  Deep Learning We all are amused by seeing our recent searched products and similar products on the other websites and apps while browsing them. Have you given a thought on how is it possible? And also astonished by the working of Google assistant These are the outcomes of Deep Learning and Artificial Neural Networks.  Deep Learning  Artificial Intelligence imitates human behavior, Machine learning deals with algorithms to perform the same, and Deep Learning is a branch of Machine learning that deals with a huge amount of data.  Deep learning is a branch of Machine Learning, inspired by the structure of the human brain. The working of deep learning algorithms is similar to the human brain in analyzing data with defined logic. To attain this, a multilayered structure of algorithms called Neural Networks is used. How DL Works? The design of the neural network is based on the structure of the human brain. Just like how humans use their brains to recognize patterns and...