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Machine Learning and AI Examples

Feature Detection
Meta-Learning
Preprocessing
Reinforcement
Review Python
Search Algorithm
Semi-Supervised
Statistical Methods
Supervised
Unsupervised

TODO:

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Q&A

  1. What are the difference between feed forward and back propagation?
  • feed forward is an architecture
  • back propagation is a process to updating weights ref

References:

[1] Deep Learning with Python - Chollet, Francois
[2] Link to comparison between logistic regression and perceptron
[3] Connectionist Models in Cognitive Psychology
[4] https://stats.stackexchange.com/a/418814/142439
[5] https://aws.amazon.com/what-is/overfitting/
[6] Application of convolution
[7] https://www.deeplearningbook.org/
[8] http://cs231n.stanford.edu/
[9] http://neuralnetworksanddeeplearning.com/chap5.html
[10] https://www.deeplearningbook.org/contents/convnets.html
[11] https://stanford.edu/~shervine/teaching/cs-230/cheatsheet-recurrent-neural-networks
[12] https://youtu.be/oymtGlGdT-k?t=1010
[13] https://stanford.edu/~shervine/teaching/