Author: Naveen
Retrieving Dictionary Keys and Values in Python
Python is a versatile and powerful programming language that provides many ways to retrieve keys and values from dictionaries. Dictionaries are a fundamental data structure in Python, allowing you to store key-value pairs for efficient lookup and manipulation. In this article, we will see different methods to retrieve keys and values from dictionaries with code…
Read MoreDay 2: 14 Types of Neural Networks and their Applications
1 – Introduction to Neural Networks Artificial intelligence has changed drastically because of neural networks, which are now an important part of various applications. They can be used to solve complex problems and make predictions by mimicking the structure and functioning of the human brain. So, in this article, we will talk about different types…
Read MoreDay 1: Introduction to Deep Learning: Understanding the Basics
Welcome to this Deep Learning Course! Today is the beginning of our course and in this first article we will be talking about basics of Deep Learning. So, Let’s get started. Deep learning, is a subfield of machine learning that focuses on algorithms inspired by the structure of the human brain called which is an…
Read MoreHow to Enhance Images Using Python
Image enhancement is one of the important steps in number of applications, including computer vision and image processing. It will help you to improve the quality of an image by adjusting its brightness, contrast and sharpness. Python, a versatile programming language, that provides a number of libraries to perform image enhancement tasks. In this article,…
Read MoreA Comprehensive Guide on Hyperparameter Tuning
Hyperparameter tuning is an important step in the machine learning pipeline, as it can significantly impact the performance of your Machine learning model. In this article, we will talk about what is hyperparameter tuning, its importance, how it works, popular techniques, its impact on model performance, and how we can choose the right hyperparameters for…
Read MorePython for Machine Learning: A Beginner’s Guide
Introduction to Python for Machine Learning Python has emerged as an effective programming language for Machine Learning and Data Science. In this beginner’s guide, we’ll cover the basics of Python and learn how to use it to build and train machine learning models. Installing Python and Required Libraries 1 – Download and Install Python: Visit…
Read MoreMastering Image Contrast: A Step-by-Step Guide to Enhancing Image
In the previous article, we discussed Histogram Equalization and also implemented it in Python. You can read that article on Histogram Equalization here. In this part, we are going to look at how to enhance Image contrast, as well as implement it step-by-step using Python and the OpenCV library. Improving the contrast of an image…
Read MoreHistogram Equalization: Enhancing Image Quality and Contrast
Histogram equalization is a technique used to enhance the quality and contrast of an image. It is a process of adjusting the intensity values of an image to improve its visual appearance. In this article, we will discuss the concept of histogram equalization, and its benefits, also we will be looking at the implementation in…
Read MoreMastering Keras: Best Practices for Optimizing Your Python Models
The popularity of Keras, a Python library for building and training deep learning models, has increased as deep learning evolves. It is known for its user-friendly API, which allows developers to quickly build, test, and deploy deep learning models. This article will cover the best practices for optimizing Keras models, including understanding Python Keras libraries,…
Read MoreEssential Keras Functions for Python Programmers
Python developers are likely to be familiar with constructing neural networks for deep learning applications. Although Python is a potent language that enables the development of complex applications, deep learning can be difficult. This is where Keras comes into play. Keras is a sophisticated neural network API that is coded in Python. It was created…
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