- 2019-01-08 02:29 AM
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o complete the course’s interactive challenges, simply head over to the Scrimba version: https://scrimba.com/g/gneuralnetworks
⭐️What you’ll learn ⭐️
⭐️About Robert Plummer ⭐️
Robert is the lead developer of the Brain.js library. He has a unique ability to explain complex concepts in a manner that everyone can understand. Feel free to reach out to Robert via Twitter if you have feedback, or simply want to thank him for creating this course.
Good luck, and welcome to the exciting world of neural networks!
⭐️Course Contents ⭐️
⌨️ (0:00:00) Course introduction
⌨️ (0:01:46) Our first neural net!
⌨️ (0:04:31) How they learn - Propagation
⌨️ (0:07:57) How they learn - Structure
⌨️ (0:10:09) How they learn - Layers
⌨️ (0:14:04) Working with objects!
⌨️ (0:21:52) Learning more than numbers
⌨️ (0:34:21) Example: Counter
⌨️ (0:44:10) Normalization
⌨️ (0:50:35) Example: Stock price predictor
⌨️ (0:56:06) Predicting multiple steps
⌨️ (0:57:43) Example: A recurrent neural network that learns math
⌨️ (1:03:56) Example: Number detector
⌨️ (1:09:41) Example: Writing a children’s book
⌨️ (1:11:28) Example: Sentiment detection
⌨️ (1:13:50) RNN inputs and outputs
⌨️ (1:17:56) Example: Simple reinforcement learning
⌨️ (1:21:03) Example: Recommendation engine
⌨️ (1:26:02) Closing thoughts
Original video source: https://www.youtube.com/watch?v=6E6XecoTRVo