Neuralnets 2012 001 10 Lecture10 03 The idea of full Bayesian learning min srt

Neuralnets 2012 001
10 Lecture10 03 The idea of full Bayesian learning min srt

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/10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.srt	10.5 KB
/10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.txt	6.9 KB
/10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.mp4	8.8 MB
/10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.srt	8.7 KB
/01_Lecture1/01_Why_do_we_need_machine_learning_13_min.srt	18.8 KB
/01_Lecture1/05_Three_types_of_learning_8_min.srt	10.6 KB
/10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.txt	5.7 KB
/01_Lecture1/01_Why_do_we_need_machine_learning_13_min.txt	12.2 KB
/10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.mp4	8.5 MB
/01_Lecture1/01_Why_do_we_need_machine_learning_13_min.mp4	15.8 MB
/01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pdf	4.1 MB
/01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pptx	3.8 MB
/01_Lecture1/05_Three_types_of_learning_8_min.txt	7.0 KB
/12_Lecture12/04_An_example_of_RBM_learning_7_mins.srt	10.1 KB
/01_Lecture1/04_A_simple_example_of_learning_6_min.srt	7.2 KB
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