Working on a Computer Vision Project? These Code Chunks Will Help You !!!
Author(s): Chinmay Bhalerao Originally published on Towards AI. An introduction to a few “used to” methods in a computer vision project Computer vision projects [Source] “VR and AR will eventually converge, and smart glasses will take over our digital interactions.”― Carlos López …
Evaluating Mode Collapse in GANs Using NDB Score
Author(s): Shashank Kumar Originally published on Towards AI. Below are a few art pieces I generated from a GAN. They aren’t striking at all, but they’re diverse. However, this is not always the case. GAN generated images The next set of images …
All Types of ML Accelerators
Author(s): Luhui Hu Originally published on Towards AI. AI Engineering Comprehensive overview of machine learning accelerators from training to serving The past decade has been the era of deep learning. We are thrilled with unstopping milestones from AlphaGo to DELL-E 2 and …
GELU : Gaussian Error Linear Unit Code (Python, TF, Torch)
Author(s): Konstantinos Poulinakis Originally published on Towards AI. Code tutorial for GELU, Gaussian Error Linear Unit activation function. Includes bare python, Tensorflow and Pytorch code. This member-only story is on us. Upgrade to access all of Medium. Photo by Markus Winkler on …
Overview of Computer Vision Tasks & Applications
Author(s): Youssef Hosni Originally published on Towards AI. Table of content: This member-only story is on us. Upgrade to access all of Medium. Computer vision is a subset of computer science that, simply put, allows computers to see, comprehend, and analyze visual …
Types of Activation Function
Author(s): Saurabh Saxena Originally published on Towards AI. Activation Function in Neural Networks Image by Author An Activation Function decides whether a neuron should be activated or not, sometimes, it is also called a transfer function. The primary role of the activation …
A Simple Adjustment Improves Out-of-Distribution Detection for Any Classifier
Author(s): Ulyana Tkachenko Originally published on Towards AI. Authors: Ulyana Tkachenko, Jonas Mueller, Curtis G. Northcutt Original Image by Author Anyone who has tried training ML models on real-world datasets (not the perfectly curated data we work with in school) has probably …
How to Read Machine Learning Papers Effectively
Author(s): Youssef Hosni Originally published on Towards AI. Table of Content: Top highlight This member-only story is on us. Upgrade to access all of Medium. The field of machine and deep learning is evolving very fast, and there are new research outputs …
Deep Dive Into Confusion Matrix
Author(s): Saurabh Saxena Originally published on Towards AI. Model Evaluation Precision (TPR), Recall (PPV), TNR, FPR, FNR, NPV, F1 Score, Accuracy, Balanced Accuracy, LR+, LR- Image by Author In the field of Data Science, model evaluation is the key component of the …
Big Data Is Not the Way to Go
Author(s): Andre Ye Originally published on Towards AI. The significance of the data distribution a la unsplash This member-only story is on us. Upgrade to access all of Medium. A lot of discourse around deep learning would have you believe that more …
Introduction to Confusion Matrix
Author(s): Saurabh Saxena Originally published on Towards AI. Model Evaluation What is Confusion Matrix and how to plot it in Python? Image by Author The Confusion Matrix is the visual representation of the Actual VS Predicted values. It is a performance evaluation …
AI/ML Model Build and Explainability (XAI)
Author(s): Himanshu Swamy Originally published on Towards AI. Machine Learning & Artificial Intelligence to Reduce Financial Crimes Insurance Business Overview One of the major components of the economy is the insurance industry, it protects against the financial risks that are present at …
Quick Take On Text to Image Conversion With AI — Using Stable Diffusion
Author(s): Ketan Bhavsar Originally published on Towards AI. While the conversion tools have been there for years, Stable Diffusion literally makes it possible for anyone to create photorealistic art! Courtesy: Stable Diffusion What is text to image conversion model? Simplistically, it’s a …
Overview Of Vision Transformers Is All You Need
Author(s): Mustafa Gültekin Originally published on Towards AI. How are Transformers the next breakthrough in computer vision? This member-only story is on us. Upgrade to access all of Medium. Photo by Joshua Earle on Unsplash In the history of transformers in deep …
TransUNet — Revolutionize Traditional Image Segmentation
Author(s): Leo Wang Originally published on Towards AI. Renovating U-Net by combining CNNs and Transformer to achieve SOTA results on image segmentation tasks. Table of Contents · U+1F525 Intuition· U+1F525 TransUNet ∘ Down-Sampling (Encoding) ∘ Up-Sampling (Decoding)· U+1F525 Results· U+1F525 Implementations· Reference …
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