Neural network modeling: Difference between revisions
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# [https://medium.com/@ageitgey/machine-learning-is-fun-part-6-how-to-do-speech-recognition-with-deep-learning-28293c162f7a One of the very best articles I have ever seen on speech recognition and neural networks.] | |||
# [https://www.youtube.com/watch?v=o-ZtArILrb8 Click here for a REALLY bad video trying to describe this]. | # [https://www.youtube.com/watch?v=o-ZtArILrb8 Click here for a REALLY bad video trying to describe this]. | ||
# [https://www.youtube.com/watch?v=9dXiAecyJrY&feature=youtu.be&t=13874 Click here for a more advanced video on this] | # [https://www.youtube.com/watch?v=9dXiAecyJrY&feature=youtu.be&t=13874 Click here for a more advanced video on this] | ||
Revision as of 19:32, 7 February 2019
HL content: Modeling & Simulation[1]
Introduction[edit]
Examples include:
Speech recognition[edit]
- One of the very best articles I have ever seen on speech recognition and neural networks.
- Click here for a REALLY bad video trying to describe this.
- Click here for a more advanced video on this
Optical character recognition[edit]
Optical character recognition...is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text.[2] Please note: none of the resources I could find are excellent. But taken together as a whole, they should help improve your understanding of how neural networks work with OCR.
Natural language processing[edit]
Natural language processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.[3]
Standards[edit]
- Compare applications that use neural network modelling.