6.3: Natural language processing (NLP) – understanding written text
Learn the basics of how to interact with natural language models that recognize text instead of images. This video highlights new concepts such as how to select a suitable model for the task, quantization, and word vectors that help with classifying whole sentences such as for spam classification.
Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → https://goo.gle/developers
Connect with Jason Mayes to ask questions:
LinkedIn → https://goo.gle/3GwgeLw
Twitter →https://goo.gle/3Xh6MT7
Discord →https://goo.gle/3WWVO5t
Use #WebML to share your learnings and creations from this course to meet your peers on social media!
See what others have already made with Web ML → http://goo.gle/made-with-tfjs
Learn the basics of how to interact with natural language models that recognize text instead of images. This video highlights new concepts such as how to select a suitable model for the task, quantization, and word vectors that help with classifying whole sentences such as for spam classification.
Catch more episodes from Machine Learning for Web Developers (Web ML) → https://goo.gle/learn-WebML
Check out TensorFlow on YouTube → https://goo.gle/TensorFlow-YouTube
Subscribe to Google Developers → https://goo.gle/developers
Connect with Jason Mayes to ask questions:
LinkedIn → https://goo.gle/3GwgeLw
Twitter →https://goo.gle/3Xh6MT7
Discord →https://goo.gle/3WWVO5t
Use #WebML to share your learnings and creations from this course to meet your peers on social media!
See what others have already made with Web ML → http://goo.gle/made-with-tfjs
![The moment we stopped understanding AI [AlexNet]](https://i.ytimg.com/vi/UZDiGooFs54/hqdefault.jpg "The moment we stopped understanding AI [AlexNet]")
