Understanding Artificial Neural Networks

Does the term “neuron” ring a bell in your mind? The concept behind an Artificial Neural Network is to define inputs and outputs, feed pieces of inputs to computer programs that function like neurons and make inferences or calculations, then forward those results to another layer of computer programs and so on, until a result is obtained. THE GIST The concept behind an Artificial Neural Network is to define inputs and outputs, feed pieces of inputs to computer programs that function like neurons and make inferences or calculations, then forward those results to another layer of computer programs and so on, until a result is obtained. This approach of using neural networks of many layers to automatically detect patterns and parameters is called Deep Learning. The ANN frameworks or software mentioned above can be used for both normal Machine Learning tasks like classification or clustering and for Deep Learning/ANN tasks.