Build and Deploy Custom Docker Images for Object Recognition
Author(s): Hasib Zunair Originally published on Towards AI. Learn how to build and deploy a full-stack machine learning (ML) image recognition application from scratch to classify different objects. Source: Image by Ian Taylor at Unsplash. Motivation Several components are involved in building …
Unlocking New Insights with Vision Transformer
Author(s): Anay Dongre Originally published on Towards AI. Image generated by DALL.E 2 The Vision Transformer (ViT) is a state-of-the-art deep learning model designed to process and interpret visual information. It utilizes a novel attention-based approach to identify key features and patterns …
Step-by-step Handwriting Words Recognition With PyTorch
Author(s): Rokas Liuberskis Originally published on Towards AI. Construct an accurate handwriting recognition model with PyTorch! Understand how to use the MLTU package to simplify the PyTorch models training pipeline and discover methods to enhance your model’s accuracy. This member-only story is …
CLIP for Language-Image Representation
Author(s): Albert Nguyen Originally published on Towards AI. A multi-modal architecture bridges the gap between Natural Language and Visual understanding. Have you ever wondered how machines can understand the meaning behind a photograph? CLIP, the Contrastive Language-Image Pre-training model, is changing the …
Introduction to PyTorch in a Practical Way
Author(s): Rokas Liuberskis Originally published on Towards AI. In this tutorial, I’ll cover the basics of PyTorch, how to prepare a dataset, construct the network, define training and validation loops, save the model and finally test the saved model This member-only story …
StyleGAN: In depth explaination
Author(s): Albert Nguyen Originally published on Towards AI. Generative Adversarial Networks (GAN) have yielded state-of-the-art results in generative tasks and have become one of the most important frameworks in Deep Learning. Many variants of GAN have been proposed to improve the quality …
Deep Learning for Space Exploration
Author(s): Argo Saakyan Originally published on Towards AI. NASA, ESA, CSA, and STScI — Stephan’s Quintet I was always obsessed with space and neural nets. As a Computer Vision Researcher, I see a lot of opportunities for Deep Learning in space exploration. …
Deep Learning for Space Exploration
Author(s): Argo Saakyan Originally published on Towards AI. NASA, ESA, CSA, and STScI — Stephan’s Quintet I was always obsessed with space and neural nets. As a Computer Vision Researcher, I see a lot of opportunities for Deep Learning in space exploration. …
Introduction
Author(s): Mohammad Javadian Farzaneh Originally published on Towards AI. Visual SLAM, A Booster Overview Part 1 Photo by Andrew Neel on Unsplash Purpose of Writing SLAM is one of the machine vision concepts that is widely used in robotics. My Master’s thesis …
Introduction
Author(s): Mohammad Javadian Farzaneh Originally published on Towards AI. Visual SLAM, A Booster Overview Part 1 Photo by Andrew Neel on Unsplash Purpose of Writing SLAM is one of the machine vision concepts that is widely used in robotics. My Master’s thesis …
Unlock Your Data’s Potential with Data Science
Author(s): Chinmay Bhalerao Originally published on Towards AI. A bird-eye view introduction of everything about data science Photo by Isaac Smith on Unsplash “Now its time to begin thinking of Data Science as a profession not a job, as a corporate culture …
Image Processing with Fourier Transform
Author(s): Albert Nguyen Originally published on Towards AI. Top highlight Image Processing is a crucial task in Computer Vision. For example, when we train a Deep Learning model with a small amount of image data, we need to synthesize new images using …
Image Processing with Fourier Transform
Author(s): Albert Nguyen Originally published on Towards AI. Top highlight Image Processing is a crucial task in Computer Vision. For example, when we train a Deep Learning model with a small amount of image data, we need to synthesize new images using …
Computer Vision Tutorial Series M1C1
Author(s): Sujay Kapadnis Originally published on Towards AI. Module 1 — Image Representation and Classification Chapter 1 – Introduction to Computer Vision With this article, I am starting a new series for those who are interested in learning Computer vision. Why Learn …
easy-explain: Explainable AI for images
Author(s): Stavros Theocharis Originally published on Towards AI. A quick and easy-to-use package for fast explainability results on images (Right) Photo by Tomas Allsop on Unsplash U+007C (Left) Unsplash Image adjusted by the showcased algorithm Introduction Understanding how artificial intelligence (AI) decides …
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