Dissecting Relu: A desceptively simple activation function
What is this post about? This is what you will be able to generate and understand by the end of this post. This is the…
Category: Coding
This is all about coding interesting algorithms.
Stochastic Approximation to Gradient Descent
What will you learn? The video below, delivers the main points of this blog post on Stochastic Gradient Descent (SGD): (GitHub code available in here) …
COVID-19 Analysis
Studying and Predicting the Progress of COVID-19 using Pandas and ARIMA COVID-19 has been around for nearly 4 months since the outbreak. In this notebook,…
Train a Perceptron to Learn the AND Gate from Scratch in Python
What will you Learn in this Post? Neural Networks are function approximators. For example, in a supervised learning setting, given loads of inputs and loads…