Extract Text from Video

This guide will help you understand video text extraction using Python libraries. We'll explore how to extract spoken words from videos by converting them to audio, utilizing speech recognition techniques, and finally, presenting the extracted text in a usable format.

Creating & Visualizing Neural Network

Have you ever wondered what goes on inside a machine that can learn? In this blog, we'll be diving into the world of neural networks by building a simple one ourselves! Using the powerful Keras API, we'll step-by-step craft a very simple neural network and visualize it with the Netron visualizer tool.

Machine Learning Workflow

In today's data-driven world, the demand for machine learning solutions continues to soar, revolutionizing industries and transforming how businesses operate. To help you better understand the complex landscape of machine learning, we want to take you through the essential steps of the machine learning workflow.

Introduction to Machine Learning

Machine learning is an integral part of developing a better future. In due course of time, Machine learning along with AI will change the course of development. It holds the potential to transform the way we carry out our daily tasks.

Loss Functions in Machine Learning

Machine learns by loss function. The Loss function is a method of assessing how accurately algorithm models the given data. Optimization problem use loss functions for minimizing errors. One of the most widely used losses functions is Mean Square Error (MSE) and Minimum Absolute Error (MAE). In this article, we’ll see these two loss functions in detail.