Rustic Learning: Machine Learning in Rust — Part 4: Neural Networks
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Rust Native Neural Networks Photo by Beth Macdonald on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. The …
Rustic Learning: Machine Learning in Rust — Part 5: Model Deployment
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to Rust’s Deployment of ML Models Photo by david Griffiths on Unsplash Rustic Learning is a series of articles that explores the use of Rust programming language for machine learning tasks. …
Breaking Down YOLO’s (version 4) State-Of-The-Art Performance
Author(s): Adrienne Kline Originally published on Towards AI. Coined after the viral phrase, ‘you only live once’ (YOLO), the machine learning (ML) world first coined this acronym and repurposed it to You Only Look Once — YOLO. YOLOv1 was devised as a …
Introduction to Deep Learning Part 2: RNNs and LTSM
Author(s): Koza Kurumlu Originally published on Towards AI. Welcome to Part 2 of my Introduction to Deep Learning series. In the last article, we covered the perceptron, neural networks, and how to train them. In this blog post, we will introduce different …
Uncovering the Art of Combat: A Data Scientist’s Exploration of Mixed Martial Arts
Author(s): John Adeojo Originally published on Towards AI. Examining the Impact of Fighting Styles on MMA Matchups with Machine Learning & Statistical Analysis Image by Author: Generated with Midjourney prompt “The Stance Standoff, 2023 — A captivating and intense photograph capturing the …
History of AI: Maturation of Artificial Intelligence (1943–1952)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. The period from 1943 to 1952 is considered the maturation period of AI, as several important breakthroughs were made during this time. Artificial Intelligence has rapidly become one of the most …
From Pre-RNNs to GPT-4: How Large Language Models are Changing NLP
Author(s): Hitesh Hinduja Originally published on Towards AI. Introduction Large Language Models (LLMs) are currently a popular topic of discussion across various social media platforms such as LinkedIn and Twitter. Their prevalence is evident from the fact that ChatGPT has already made …
Computer Vision 101: Image Restoration
Author(s): Gabriele Mattioli Originally published on Towards AI. What is noise, and how does it affect images Photo generated by DALL·E 2 • Credit: OpenAI Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. If …
![Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]](https://i3.wp.com/miro.medium.com/v2/resize:fit:875/0*kCp27RZLiC9Amiv8.png?w=875&resize=875,368&ssl=1 "Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]")
Building and Deploying a GAN Streamlit Web App on Heroku [Part 1]
Author(s): Youssef Hosni Originally published on Towards AI. Table of Content: Generative Adversarial Networks (GANs) are a type of deep learning architecture that has become increasingly popular for generating new and realistic data, such as images, videos, and audio. Building a GAN …
Why Strategic Plans Aren’t the Best Plan For Data Science
Author(s): Jonathan Burley Originally published on Towards AI. Tech and data science winners treat strategy differently Data Science as an exercise in building new products and companies retains the same pitfalls as any other business process before it: clinging to old, formerly …
How I Identify the Yoga Poses with CV in 7 steps
Author(s): Gencay I. Originally published on Towards AI. Identify Yoga Poses with Computer Vision using Deep Learning and CNNs — A Data Science Approach Image by Author There is no doubt that yoga has become increasingly popular over the years, with millions …
scikit-learn Cheat Sheet: Functions for Machine Learning
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with Python and scikit-learn: A Comprehensive Guide for Data Scientists and AI Enthusiasts Image by Author It is no secret that data science and machine learning have become essential components of …
The Best AI-Powered Tools for Productivity!
Author(s): Louis Bouchard Originally published on Towards AI. These AI Tools will 10x Your Productivity! Here are my five favorite tools to boost my productivity, all based on artificial intelligence since that’s what we like on this page! Obviously, a tool doesn’t …
How to Save and Load Deep Learning Models with Keras?
Author(s): Tirendaz AI Originally published on Towards AI. Learn how to use ModelCheckpoint callback Image by Freepik Training deep learning models is a time-consuming process. You can save model progress during and after training. So, you can resume the training of a …
Python Pandas vs. Dask DataFrames: A Comparative Analysis
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. A Comparison of Python’s Popular Data Manipulation Libraries Photo by Peter Burdon on Unsplash DataFrames are a popular data structure used for data manipulation and analysis in Python. Pandas and Dask are two …
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