<p>In this rerun of Episode 16, we introduce the important concept of gradient descent which is the fundamental principle underlying learning mechanisms in a wide range of machine learning algorithms. Check out the transcripts of this episode and related references and software at: <a href="http://www.learningmachines101.com">www.learningmachines101.com</a> !!!</p>

In this rerun of Episode 16, we introduce the important concept of gradient descent which is the fundamental principle underlying learning mechanisms in a wide range of machine learning algorithms. Check out the transcripts of this episode and related references and software at: www.learningmachines101.com !!!

<p>In this rerun of Episode 16, we introduce the important concept of gradient descent which is the fundamental principle underlying learning mechanisms in a wide range of machine learning algorithms. Check out the transcripts of this episode and related references and software at: <a href="http://www.learningmachines101.com" rel="noopener noreferrer">www.learningmachines101.com</a>&nbsp;!!!</p>

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

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life.  For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!

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Technology

Mathematics

Smart machines based upon the principles of artificial intelligence and machine learning are now prevalent in our everyday life. For example, artificially intelligent systems recognize our voices, sort our pictures, make purchasing suggestions, and can automatically fly planes and drive cars. In this podcast series, we examine such questions such as: How do these devices work? Where do they come from? And how can we make them even smarter and more human-like? These are the questions that will be addressed in this podcast series!

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

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