DeepAI: The front page of A.I.

Activation Function

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

09/27/2020 ∙ 633 ∙ share

How artificial intelligence may be making you buy things

11/09/2020 ∙ Ilkka Sirviö ∙ 21 ∙ share

Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP

11/04/2020 ∙ by Julia Kreutzer, et al. ∙ 73 ∙ 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 ∙ 393 ∙ share

Training A Neural Network To Play A Driving Game

11/07/2020 ∙ Bowen Driessen ∙ 76 ∙ share

The power of quantum neural networks

10/30/2020 ∙ by Amira Abbas, et al. ∙ 178 ∙ share

Neural Network Design: Learning from Neural Architecture Search

11/01/2020 ∙ by Bas van Stein, et al. ∙ 119 ∙ share

Understanding Representation Learning With Autoencoder: Everything You Need to Know About Representation and Feature Learning

11/09/2020 ∙ Kamil ∙ 0 ∙ share

Local SGD: Unified Theory and New Efficient Methods

11/03/2020 ∙ by Eduard Gorbunov, et al. ∙ 60 ∙ share

How to Train Your Own Object Detector Using Tensorflow Object Detection API

11/09/2020 ∙ Kamil ∙ 0 ∙ share

Toonify

09/23/2020   justinpinkney ∙ 22 ∙ share