DeepAI: The front page of A.I.

PyTorch Loss Functions: The Ultimate Guide

10/22/2020 ∙ Kamil ∙ 117 ∙ share

Counterfactual Explanations for Machine Learning: A Review

10/20/2020 ∙ by Sahil Verma, et al. ∙ 76 ∙ share

Activation Function

An activation function sets the output behavior of each node, or “neuron” in an artificial neural network.

09/27/2020 ∙ 611 ∙ share

Sigmoid Function

A sigmoid function is a type of activation function, and more specifically defined as a squashing function, which limits the output to a range between 0 and 1.

09/27/2020 ∙ 395 ∙ share

The Impact of Artificial Intelligence on the Law

10/22/2020 ∙ Mika Berggren ∙ 20 ∙ share

Fourier Neural Operator for Parametric Partial Differential Equations

10/18/2020 ∙ by Zongyi Li, et al. ∙ 157 ∙ share

Toonify

09/23/2020   justinpinkney ∙ 18 ∙ share

Detection of COVID-19 informative tweets using RoBERTa

10/21/2020 ∙ by Sirigireddy Dhanalaxmi, et al. ∙ 26 ∙ share

Random Forests

The random forest is a supervised learning algorithm that randomly creates and merges multiple decision trees into one “forest.”

09/10/2020 ∙ 697 ∙ share

AI security: This project aims to spot attacks against critical systems before they happen

10/23/2020 ∙ Gaxan Peres Hernádez ∙ 0 ∙ share

Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges

10/19/2020 ∙ by Christoph Molnar, et al. ∙ 75 ∙ share