The feed forward neural nets work on the principle of predicting output at a given data point independently i.e. no dependency from past input. As there is no feedback from past, the network is not Read more…
Brief Introduction to Cyclic Networks The Artificial Neural Networks (ANN) have evolved tremendously with a variety of networks to suit for applications according their individual properties. The ANN have a simple structure consisting of nodes Read more…
The field of Deep Learning is often confused with in terms of building algorithms and understanding them keeping AI and Machine Learning in mind. This post is an attempt to give a light but conceptual Read more…
For Clarification related to Artificial Intelligence, Machine Learning & Deep Learning
Collaboration for research areas such as Speech & Image Processing and Machine Learning