Alexey Grigoryevich Ivakhnenko along with Valentin Grigorʹevich Lapa, creates hierarchical representation of neural network that uses polynomial activation function and are trained using Group Method of Data Handling (GMDH). It is now considered as the first ever multi-layer perceptron and Ivakhnenko is often considered as father of deep learning.