In the previous model with hidden layer achieved 99.97% of train accuracy, 97.51% of validation accuracy and 97.6% test accuracy.

In this time, we’re going to use dropout to drop, which is a regularization technique for reducing overfitting in artificial neural networks by preventing complex co-adaptations on training data.

The perceptron algorithm was invented in 1958 at the Cornell Aeronautical Laboratory by Frank Rosenblatt. Perceptron mimics neuron, inputs data from other neurons and outputs to other neurons.

Perceptron has its own weights w1, w2, ...,with input x1, x2, …, total sum of inputs x1w1 + x2w2 + … is…

Photo by Caspar Camille Rubin on Unsplash

With Apple’s new M1 architecture based on ARM64, Anaconda does not support M1 natively yet. So to utilize full performance of M1, we’re to install conda with miniforge which has native support on M1.

You could go on Miniforge GitHub, and follow instruction running shell script. But we have easier…