Learning

Books (on-line)

• Hastie ElemStatLearn
• mit-deep-learning-book-pdf
• NeuralNetworksPosteriors_Lippmann1991.pdf
• BishopPatternRecognitionAndMachineLearningSpringer2006.pdf
• MachineLearningProbabilisticPerspective.pdf
• understanding-machine-learning-theory-algorithms.pdf
• HandsonMachineLearningwithScikitLearnandTensorflow.pdf
• a_short_1995.pdf
• Generative Deep Learning
  
  More resources

Lecture (Videos)

• Yann Lecun L’apprentissage profond (2015-2016)
• Youtube Channel gricad

Tutorials and Slides

• https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle/
• https://github.com/mhuertascompany/deeplearning4astronomy
• https://gricad-gitlab.univ-grenoble-alpes.fr/talks/fidle/-/wikis/resources-links?version_id=47fddcee4feab2628d4e8019483350b2db827fcc#

Tensor Flow

• https://www.tensorflow.org
• http://playground.tensorflow.org/