
technologyFeb 8, 201621:51pending
LM101-045: How to Build a Deep Learning Machine for Answering Questions about Images
About this episode
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!!
Get every episode summarized
Each time Learning Machines 101 publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Learning Machines 101

LM101-086: Ch8: How to Learn the Probability of Infinitely Many Outcomes
Learning Machines 101
Jul 20, 202135:29pending

LM101-085:Ch7:How to Guarantee your Batch Learning Algorithm Converges
Learning Machines 101
May 21, 202130:51pending

LM101-084: Ch6: How to Analyze the Behavior of Smart Dynamical Systems
Learning Machines 101
Jan 5, 202133:13pending

LM101-083: Ch5: How to Use Calculus to Design Learning Machines
Learning Machines 101
Aug 29, 202034:22pending