In this article, we’ll find the derivative of Sigmoid Function. The Sigmoid Function is one of the non-linear functions that is used as an activation function in neural networks.

# Author: Rabindra Lamsal

A JNU graduate with a specialization in AI.

## A step by step forward pass and backpropagation example

In this article, we’ll see a step by step forward pass (forward propagation) and backward pass (backpropagation) example. We’ll be taking a single hidden layer neural network and solving one complete cycle of forward propagation and backpropagation.

## Mathematical concepts behind Norms in Linear algebra

This article is a beginner guide to norms from linear algebra. The commonly used norms: L1 norm, L2 norm, max-norm and Frobenius norm are also discussed.

## Searching historical tweets with Twitter API v2 and twarc2

In this article, I’ll discuss quickly how you can use twarc2 to access Twitter API v2 and search historical tweets.

## Basic Operations on Tensors

In this article, we’ll see the basic operations (Addition, Broadcasting, Multiplication, Transpose, Inverse) that can be performed on tensors.

## Scalars, Vectors, Matrices and Tensors

This article discusses the fundamentals of linear algebra: scalars, vector, matrices and tensors. The real-world use case of tensors is briefly introduced.

## Hydrating tweet IDs

This article discusses in detail how you can extract complete Twitter data by hydrating tweet ids.