In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms.
For more podcast episodes on the topic of machine learning and free machine learning software, please visit us at: <a href="http://www.learningmachines101.com">www.learningmachines101.com</a> !!

In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms. For more podcast episodes on the topic of machine learning and free machine learning software, please visit us at: www.learningmachines101.com !!

In this episode we introduce the concept of gradient descent which is the fundamental principle underlying learning in the majority of machine learning algorithms.
For more podcast episodes on the topic of machine learning and free machine learning software, please visit us at: <a href="http://www.learningmachines101.com" rel="noopener noreferrer">www.learningmachines101.com</a>&nbsp;!!

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

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!

Science

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

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