In-depth Understanding to Optimize the Performance of Artificial Neural Network
Author(s): Amit Chauhan Originally published on Towards AI. Hyper-parameters tuning for deep learning techniquesAn image by the Author Introduction Neural networks are structures that depend on the different input parameters to make decisions or predictions. Generally, it tries to mimic the operational …
Comprehensive Introduction to AI Image Generation
Author(s): Youssef Hosni Originally published on Towards AI. Image generation with AI refers to the process of using artificial intelligence techniques, particularly machine learning models, to create images. These AI-generated images can range from realistic and natural-looking pictures to highly creative and …
GPT-4 Advanced Data Analysis: A Beginner’s Guide to Charts and Maps
Author(s): John Loewen, PhD Originally published on Towards AI. Removing the “advanced” for simple and useful data analysisDall-e created image — impressionist painting in vivid thick oil colors of a map of Earth With data science, turning raw numbers into meaningful data …
Creating a Fall Detection Model Using Unsupervised Learning
Author(s): Petros Demetrakopoulos Originally published on Towards AI. Source: Image by Harlie Raethel on Unsplash In our rapidly aging society, the risk of falling has become a growing concern. For elderly individuals, a fall can have grave consequences, ranging from painful fractures …
What Is Responsible AI & How Big Companies Implement It In Their Products?
Author(s): Youssef Hosni Originally published on Towards AI. As generative AI becomes increasingly prevalent, the responsibility to wield its power ethically and sustainably has become a paramount concern. Enter Responsible AI — a critical approach that seeks to ensure the development and …
Fully Explained AdaBoost Ensemble Technique with Python Example
Author(s): Amit Chauhan Originally published on Towards AI. Boosting ensemble algorithm in machine learningPhoto by Alex Chumak on Unsplash Introduction Ensemble techniques: We can say it is a collection or group of weak model machine learning models that become a strong machine …
Orchestrate Machine Learning Pipelines with AWS Step Functions
Author(s): ????Mike Shakhomirov Originally published on Towards AI. Advanced-Data Engineering and ML Ops with Infrastructure as CodePhoto by Markus Winkler on Unsplash This story explains how to create and orchestrate machine learning pipelines with AWS Step Functions and deploy them using Infrastructure …
You Probably Know GANs, But Do You Know How To Train It?
Author(s): Youssef Hosni Originally published on Towards AI. A Comprehensive Guide on GANs Training & Minimax Loss Function While GANs have revolutionized image generation, training them can be tricky. This guide will take you through GAN training step-by-step: from how the discriminator …
Democratizing AI with Open-Source Large Language Models
Author(s): Josep Ferrer Originally published on Towards AI. Image created by Leonardo.AI The digital age has brought with it an unprecedented amount of tools and technologies that have revolutionized the way we work, live, and play. At the heart of this transformation, …
Top Important Computer Vision Papers for the Week from 25/9 to 1/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision …
A Gentle Introduction to Generative Adversarial Networks (GANs)
Author(s): Youssef Hosni Originally published on Towards AI. What is GAN's main component, and how does it work? GANs have revolutionized the field of machine learning, enabling computers to generate incredibly realistic data, such as images, music, and even text. You might …
Chat with Your BigQuery Data
Author(s): Benedict Neo Originally published on Towards AI. made with excalidraw Large language models (LLMs) have shown extraordinary ability in understanding natural language and generating code. One popular use-case for code generation is in Text-To-SQL tasks, where the goal is to automatically …
The (Truly) Hardest of Pandas: pivot and melt Clearly Explained
Author(s): Bex T. Originally published on Towards AI. Master these head-scratchers like never before Top highlight Image by me with Midjourney The title says it all — this is about the two hardest Pandas functions: pivot and melt. If Pandas functions were …
Reinforcement Learning: Function Approximation and Deep Q-Networks — Part 4
Author(s): Tan Pengshi Alvin Originally published on Towards AI. Reinforcement Learning with continuous state spaces and gradient descent techniquesImage by SpaceX on Unsplash Since Part 1 of this series, we have framed Reinforcement Learning as a Markov Decision Process environment with discrete …
If You Only Have 3 Minutes — This ChatGPT Dense Summary Prompt is For You
Author(s): Qendel AI Originally published on Towards AI. I only have 3 minutes — how do I read my 5 pages now? Your time is precious, and a strong summary honors that! A strong summary is brief — a weak summary is …
Recent Posts
