In this post, we will do the math on our dummy dataset and calculate the feedforward steps by hand. We will take the parameters of our first instance, i.e. first house, as the input vector and arbitrarily chosen random weights. … Continue reading Neural Networks – Feedforward Math
Notes on intuitive understanding of backpropagation. Continue reading Neural Networks – Backpropagation
What happens when the input goes into the model? It makes its way through the network architecture to the output layer. This process is called Feed-forward process and results in the prediction or classification of the problem we’re building the … Continue reading Neural Networks – Feedforward process
August 7th 2017, the day I landed in San Francisco, California. I remember being so scared that I considered taking the next flight back without even getting out of the airport. It’s not that I didn’t want to be there, … Continue reading 3-year milestone: Reflections on the odyssey
For beginners by a beginner- Artificial Neural Networks. Continue reading Neural Networks – the why and the what
Hi there! This blog probably has the most cliche title in the computer science world, but the shoe fits, so why not. This is my very first blog so it is befitting that I introduce myself and outline what I … Continue reading Introduction – Hello World!!