Welcome to Zero to Hero for Natural Language Processing using TensorFlow! If you’re not an expert on AI or ML, don’t worry — we’re taking the concepts of NLP and teaching them from first principles with our host Laurence Moroney (@lmoroney). In the last couple of episodes you saw how to tokenize text into numeric values and how to use tools in TensorFlow to regularize and pad that text. Now that we’ve gotten the preprocessing out of the way, we can next look at how to build a classifier to recognize sentiment in text. Colab → https://goo.gle/tfw-sarcembed GitHub → https://goo.gle/2PH90ea NLP Zero to Hero playlist → https://goo.gle/nlp-z2h Subscribe to the TensorFlow channel → https://goo.gle/TensorFlow
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Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video — from zebras to stop signs — with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection. Check out more TED talks: http://www.ted.com The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Follow TED on Twitter: http://www.twitter.com/TEDTalks Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: https://www.youtube.com/TED