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 DALLΒ·E 2 β’ 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]
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 …
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 β A Data Science Approach Image by Author There is no doubt that yoga has become increasingly popular over the years, with millions …
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 …
Want to Stand Out in Data Science? Donβt Make These Portfolio Mistakes!
Author(s): Youssef Hosni Originally published on Towards AI. Is Your Data Science Portfolio Sinking Your Career? Donβt Make These 10 Mistakes Data science is a rapidly growing field, and as more and more people enter the industry, itβs becoming increasingly important to …
PyTorch Lightning: An Introduction to the Lightning-Fast Deep Learning Framework
Author(s): Anay Dongre Originally published on Towards AI. PyTorch Lightning is a popular open-source framework built on top of PyTorch that aims to simplify and streamline the process of developing deep learning models. It provides a lightweight and flexible interface for building …
Active Learning with Autogluon
Author(s): Ulyana Tkachenko Originally published on Towards AI. Train accurate models with minimal data labeling via Active Learning and AutoML Training supervised machine learning models with large amounts of data can be expensive, time-consuming, and oftentimes unnecessary effort. Comparable results can be …
Evolutionary Adversarial Attacks on Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) Despite their uncontested success, recent studies have shown that Deep Neural Networks (DNNs) are vulnerable to adversarial attacks. A barely detectable change in an image can cause a misclassification in …
Letβs Learn Deep Learning Together with Python!
Author(s): Gencay I. Originally published on Towards AI. Unlocking the Power of Deep Learning: A Comprehensive Guide to Python, for Mastering Deep Learning along with Data Science. Image by Author βLetβs Learn Deep Learning Together with Did you know that deep learning …
Twoβs Company, Threeβs an Ensemble
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) Ensemble techniques β wherein a predictive model is composed of multiple (possibly) weaker models β are prevalent nowadays within the field of machine learning (ML) and deep learning (DL). Well-known …
Youβve Been Brainwashed: ChatGPT Is Stupider Than You Think!
Author(s): Koza Kurumlu Originally published on Towards AI. Youβve Been Brainwashed: ChatGPT Is Stupider Than You Think! The incredible advancements in artificial intelligence, with some help from the media, may have you convinced that weβre closer to achieving artificial general intelligence (AGI) …
Fixing SimCLRβs Biggest Problem β BYOL Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. How BYOL introduced the new SOTA idea of all modern Self Supervised Learning frameworks. SimCLR successfully implemented the idea of Contrastive Learning and, back then, achieved a new state-of-the-art performance! Nevertheless, the idea has …
Deep Learning from Scratch in Modern C++: Cost Functions
Author(s): Luiz doleron Originally published on Towards AI. Letβs have fun by implementing Cost Functions in pure C++ and Eigen. In machine learning, we usually model problems as functions. Therefore, most of our work consists of finding ways to approximate functions using …
This AI newsletter is all you need #48
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week in AI has witnessed significant announcements from OpenAI as well as increasing pressure on the company, including Sam Altmanβs testimony in the …
Monet Paintings Reimagined: Training a DCGAN on Impressionist Art
Author(s): ClΓ©ment Delteil Originally published on Towards AI. Exploring the Boundaries of Creativity and Technology San Giorgio Maggiore at Dusk β Claude Monet β Public Domain Midjourney, DALL-E [1], and Stable Diffusion [2] are now taking the spotlight for image generation based …