Learn to build neural networks in the browser and in Node.js using the Brain.js JavaScript library. By the end of the course, you will be able to solve various problems using neural networks, focusing on practical coding rather than theory. The course covers topics such as network structure, layers, working with objects, normalization, prediction, recurrent neural networks, sentiment detection, reinforcement learning, and recommendation engines. The course is designed for individuals familiar with JavaScript and interested in applying neural networks to real-world scenarios.
Overview
Syllabus
) Course introduction.
) Our first neural net!.
) How they learn - Propagation.
) How they learn - Structure.
) How they learn - Layers.
) Working with objects!.
) Learning more than numbers.
) Example: Counter.
) Normalization.
) Example: Stock price predictor.
) Predicting multiple steps.
) Example: A recurrent neural network that learns math.
) Example: Number detector.
) Example: Writing a children's book.
) Example: Sentiment detection.
) RNN inputs and outputs.
) Example: Simple reinforcement learning.
) Example: Recommendation engine.
) Closing thoughts.
Taught by
freeCodeCamp.org
