Artificial Neural Network Tutorial With Tensorflow Ann Examples
An Artificial Neural Network (ANN) is composed of four principal objects: Layers: all the learning occurs in the layers. There are 3 layers 1) Input 2) Hidden and 3) Output Feature and label: Input data to the network (features) and output from the network (labels) Loss function: Metric used to estimate the performance of the learning phase Optimizer: Improve the learning by updating the knowledge in the network A neural network will take the input data and push them into an ensemble of layers....