Coursera Neural Networks for Machine Learning by Geoffrey Hinton 16 Lecture16 03 OPTIONAL Bayesian optimization of hyper parameters 13 min srt

Coursera Neural Networks for Machine Learning by Geoffrey Hinton
16 Lecture16 03 OPTIONAL Bayesian optimization of hyper parameters 13 min srt

Name	[Coursera] Neural Networks for Machine Learning by Geoffrey Hinton	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	980.0 MB
Total Files	284
Hash	671DA68928377171085CAF0A2861D8C559E98F54

/16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.srt	19.0 KB
/16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.txt	12.7 KB
/16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.mp4	16.6 MB
/16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.srt	3.6 KB
/16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.txt	2.4 KB
/16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.srt	13.7 KB
/16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.mp4	2.9 MB
/16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pdf	346.9 KB
/16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pptx	344.3 KB
/09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.srt	13.3 KB
/16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.txt	9.2 KB
/16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.srt	10.6 KB
/16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.mp4	11.7 MB
/09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.txt	8.8 KB
/09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.mp4	12.9 MB
Showing first 15 files of 284 total files