Tag Archives: off-line learning

LM101-065: How to Design Gradient Descent Learning Machines (Rerun)

Android robot skis downhill.

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LM101-065: How to Design Gradient Descent Learning Machines (Rerun) Episode Summary: In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of deep learning and neural network learning algorithms. Show Notes: Hello everyone! Welcome to the sixteenth podcast in the podcast series Learning Machines 101. In this series… Read More »

LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN)

Android robot skis downhill.

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LM101-031: How to Analyze and Design Learning Rules using Gradient Descent Methods (RERUN) Episode Summary: In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms. Show Notes: Hello everyone! Welcome to the sixteenth podcast in the podcast series Learning Machines 101. In this series… Read More »

LM101-016: How to Analyze and Design Learning Rules using Gradient Descent Methods

Android robot skis downhill.

Podcast: Play in new window | Download | Embed

Episode Summary: In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms. Show Notes: Hello everyone! Welcome to the sixteenth podcast in the podcast series Learning Machines 101. In this series of podcasts my goal is to discuss important concepts of artificial intelligence and… Read More »