References

• Rosenblatt, F. (1958). The perceptron: a probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386.
• Tappert, C. C. (2019). Who is the Father of Deep Learning? Symposium on Artificial Intelligence.
• Hinton, G. E. (1990). Connectionist learning procedures. Machine learning. Morgan Kaufmann, 555-610.
• Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323(6088), 533-536.
• Florez, O. U. (2017). One LEGO at a time: Explaining the Math of How Neural Networks Learn. Online: https://omar-florez.github.io/scratch_mlp/.
• Amari, S. I. (1993). Backpropagation and stochastic gradient descent method. Neurocomputing, 5(4-5), 185-196.