👉 An ensampler is a type of neural network model that is widely used in machine learning for tasks such as image classification, speech recognition, and natural language processing. It consists of several layers, each with its own activation function, and it takes in input data from multiple inputs and outputs the output data. The process of training an ensampler involves adjusting the weights of the model to minimize a loss function that measures the difference between the predicted and actual outputs.
