LADS — Materials

• 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