How Do Machines Learn? – Vision Campus

How do we teach machines to learn by themselves and eventually become “intelligent”? With neural networks just like the one we all carry in us – the brain. Machines learn by experience and with the help of neural networks. Just like in the human brain, a network of billions of neurons receives and recognizes information, classifies, sorts and archives it. A neural network basically works the same way: it receives input, processes it, and delivers output. Watch our Vision Campus video to learn about the different types of neural networks, how they are designed, and how their algorithms operate everyday functions such as image search, product recommendations, autonomous vehicles, or automated translation tools. 00:10 How can machines become intelligent? 00:26 The human brain – the smartest of all machines 00:52 How does a neural network work? 01:04 The architecture of a neural network 01:19 Deep neural network (DNN) and convolutional neural network (CNN) 01:38 How to train a DNN 02:00 Data pool and framework 02:32 Object identification based on neural networks 03:05 The benefit of neural networks 03:10 Why do we need computers to look at images? 03:59 The next level: generative adversarial networks (GANs) 04:13 Conclusion More from the Vision Campus: Which Interface for Embedded Vision? https://youtu.be/fhTgApRA6Gc?list=PLULhsSsX_9ge4g9maUkFGGLaG5S8_CiAC What is Embedded Vision? https://youtu.be/O_6IxjD86AE What is Time-of-Flight? https://youtu.be/OMDfQC0m4i4 Have a look at http://www.vision-campus.com to find all of our exciting videos and articles about vision technology. Just make sure you stop by! LET'S CONNECT! Basler Website ► http://www.baslerweb.com Vision Campus ► http://www.vision-campus.com Google+ ► https://plus.google.com/+BaslerAG-Ahrensburg Facebook ► https://www.facebook.com/BaslerAG Twitter ► https://twitter.com/Basler_AG LinkedIn ► https://www.linkedin.com/company/basler-ag