<p>In this episode we discuss just one out of the 102 different posters which was presented on the first night of the 2015 Neural Information Processing Systems Conference. This presentation describes a system which can answer simple questions about images. Check out: <a href="http://www.learningmachines101.com">www.learningmachines101.com f</a>or additional details!!</p>

In this episode we discuss just one out of the 102 different posters which was presented on the first night of the 2015 Neural Information Processing Systems Conference. This presentation describes a system which can answer simple questions about images. Check out: www.learningmachines101.com for additional details!!

<p>In this episode we discuss just one out of the 102 different posters which was presented on the first night of the 2015 Neural Information Processing Systems Conference.&nbsp;This presentation describes a system which can answer simple questions about images.&nbsp;Check out: <a href="http://www.learningmachines101.com" rel="noopener noreferrer">www.learningmachines101.com&nbsp;f</a>or additional details!!</p>

LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images

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!

Share LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images

Sign up to save your podcasts

LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images

LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images