LADS — Materials | Philip Boyland

Lecture notes from 03/11/20 LADS_031120
Lecture notes from 03/13/20 LADS_031320, videos on video page
The Machine Learning lectures make use of two on-line, free books
- Neural Networks and Deep Learning by Michael Nielsen
  http://neuralnetworksanddeeplearning.com/index.html
- Deep Learning by Ian Goodfellow and Yoshua Bengio and Aaron Courville http://www.deeplearningbook.org/
Video on neuron on the video for MLb comes from: Dingman M. Know Your Brain: Telencephalon. Neuroscientifically Challenged. http://www.neuroscientificallychallenged.com
Lecture notes from Machine Learning Lecture ML_032020, videos available
Lecture notes from Gradient Lecture, Grad_032320 videos available
Lecture notes on Deep NN Examples, ML_EG_032720 videos available
Lecture notes on Gradient Cont, Gradcont_033020 videos available
Lecture notes on Gradient, concluded, gradconcl_040120 videos available
Lecture notes on Complex vectors spaces intro: complex_intro_040720 videos available
Lecture notes on applications of ON basis: ONbasis_040920 videos available
Lecture notes on introduction to the DFT DFT_041220 videos available
Lecture notes on frequencey analysis via the DFT freq_041520 videos available
Lecture notes on convolution, filters and the DFT conv_041720 videos available