From Perceptron to Deep Neural Nets

As a machine learning engineer, I have been learning and playing with deep learning for quite some time. Now, after finishing all Andrew NG newest deep learning courses in Coursera, I decided to put some of my understanding of this field into a blog post. I found writing things down is an efficient way in subduing a topic. In addition, I hope that this post might be useful to those who want to get started into Deep Learning.

Alright, so let us talk about deep learning. Oh, wait, before I jump directly talking about what a Deep Learning or a Deep Neural Network (DNN) is, I would like to start this post by introducing a simple problem where I hope it will give us a better intuition on why we need a (deep) neural network.

By the way, together with this post I am also releasing


From Perceptron to Deep Neural Nets was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.

Gurupriyan is a Software Engineer and a technology enthusiast, he’s been working on the field for the last 6 years. Currently focusing on mobile app development and IoT.

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