The Importance of Bias in a Neural Network

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 course
• CPMAI Training and Certification
• AI Glossary
• AI Glossary Series – Machine Learning, Algorithm, Model
• Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
• Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction
• Glossary Series: Feature, Feature Engineering
• Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer

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