AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bias, Weight, Activation Function, Convergence, and ReLU and explain how they relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement LearningGlossary Series: Dimension, Curse of Dimensionality, Dimensionality ReductionGlossary Series: Feature, Feature EngineeringGlossary Series: (Artificial) Neural Networks, Node (Neuron), LayerContinue reading AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU at Cognilytica.

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