Backpropagation was one of the innovations by Geoff Hinton that made deep learning networks a practical reality. But have you ever heard of that term before and know what it is at a high level? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Backpropagation, Learning Rate, and Optimizer, explain how these terms relates to AI and why it’s important to know about them.
Continue reading AI Today Podcast: AI Glossary Series – Backpropagation, Learning Rate, and Optimizer at AI & Data Today.
AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU
AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer
AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE
AI Today Podcast: AI Glossary Series – Feature and Feature Engineering
AI Today Podcast: AI Glossary Series – Regression and Linear Regression
AI Today Podcast: AI Glossary Series- Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model
AI Today Podcast: AI Glossary Series – Deep Blue
AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems
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AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning
AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes
AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast
AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
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AI Today Podcast: AI Glossary Series- Pattern Recognition
AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
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