Demystifying the Gaps – Deep Learning Vs Neural Networks – As the name suggests “Neural Network”, or ANN they are inspired by the human brain system though nowhere close to it. Deep learning’s main job is to transform and extract features to establish relationships, the computer trains itself […]
Deep Convolutional Generative Adversarial Networks- Sir. Yann LeCun, Facebook’s AI research director made a very intuitive and interesting comment about GANs “Adversarial training “The most interesting idea in the last 10 years in the field of Machine Learning.” Generative Adversarial Networks (GANs) – A combination of two neural […]
Backpropagation Algorithm – An important mathematical tool for making better and high accuracy predictions in machine learning. This algorithm uses supervised learning methods for training Artificial Neural Networks. The whole idea of training multi-layer perceptrons is to compute the derivatives of the error function or gradient descent with respect […]
“Artificial neural networks (ANNs) are biologically inspired computing code with number of simple, highly interconnected processing elements for simulating human brain workings to process information model”.
Conceptually artificial neural networks is inspired by neural networks in the brain but actual implementation in machine learning are way far from reality. Take in multiple inputs, and produce a single output.