Info hash | 3e6f1876bbd46780602e72f4b122329fb668bd2c |
Last mirror activity | 4d,22:42:37 ago |
Size | 1.03GB (1,026,708,997 bytes) |
Added | 2017-03-05 01:25:38 |
Views | 2506 |
Hits | 8806 |
ID | 3636 |
Type | multi |
Downloaded | 16215 time(s) |
Uploaded by | pj |
Folder | neuralnets-2012-001 |
Num files | 378 files [See full list] |
Mirrors | 21 complete, 0 downloading = 21 mirror(s) total [Log in to see full list] |
neuralnets-2012-001 (378 files)
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.mp4 | 15.78MB |
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pdf | 4.06MB |
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pptx | 3.80MB |
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.srt | 18.78kB |
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.txt | 12.17kB |
01_Lecture1/02_What_are_neural_networks_8_min.mp4 | 10.23MB |
01_Lecture1/02_What_are_neural_networks_8_min.srt | 11.78kB |
01_Lecture1/02_What_are_neural_networks_8_min.txt | 7.67kB |
01_Lecture1/03_Some_simple_models_of_neurons_8_min.mp4 | 9.71MB |
01_Lecture1/03_Some_simple_models_of_neurons_8_min.srt | 10.95kB |
01_Lecture1/03_Some_simple_models_of_neurons_8_min.txt | 7.11kB |
01_Lecture1/04_A_simple_example_of_learning_6_min.mp4 | 6.89MB |
01_Lecture1/04_A_simple_example_of_learning_6_min.srt | 7.19kB |
01_Lecture1/04_A_simple_example_of_learning_6_min.txt | 4.76kB |
01_Lecture1/05_Three_types_of_learning_8_min.mp4 | 9.39MB |
01_Lecture1/05_Three_types_of_learning_8_min.srt | 10.64kB |
01_Lecture1/05_Three_types_of_learning_8_min.txt | 6.99kB |
02_Lecture2/01_Types_of_neural_network_architectures_7_min.mp4 | 9.20MB |
02_Lecture2/01_Types_of_neural_network_architectures_7_min.pdf | 504.78kB |
02_Lecture2/01_Types_of_neural_network_architectures_7_min.pptx | 409.21kB |
02_Lecture2/01_Types_of_neural_network_architectures_7_min.srt | 10.09kB |
02_Lecture2/01_Types_of_neural_network_architectures_7_min.txt | 6.62kB |
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.mp4 | 9.85MB |
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.srt | 11.12kB |
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.txt | 7.32kB |
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.mp4 | 7.68MB |
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.srt | 8.49kB |
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.txt | 5.51kB |
02_Lecture2/04_Why_the_learning_works_5_min.mp4 | 6.18MB |
02_Lecture2/04_Why_the_learning_works_5_min.srt | 6.56kB |
02_Lecture2/04_Why_the_learning_works_5_min.txt | 4.31kB |
02_Lecture2/05_What_perceptrons_cant_do_15_min.mp4 | 17.38MB |
02_Lecture2/05_What_perceptrons_cant_do_15_min.srt | 18.95kB |
02_Lecture2/05_What_perceptrons_cant_do_15_min.txt | 12.37kB |
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.mp4 | 14.18MB |
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.pdf | 548.03kB |
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.pptx | 1.19MB |
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.srt | 15.45kB |
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.txt | 10.13kB |
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.mp4 | 6.18MB |
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.srt | 6.46kB |
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.txt | 4.21kB |
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.mp4 | 4.59MB |
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.srt | 4.56kB |
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.txt | 3.02kB |
03_Lecture3/04_The_backpropagation_algorithm_12_min.mp4 | 14.00MB |
03_Lecture3/04_The_backpropagation_algorithm_12_min.pdf | 3.10MB |
03_Lecture3/04_The_backpropagation_algorithm_12_min.srt | 15.23kB |
03_Lecture3/04_The_backpropagation_algorithm_12_min.txt | 9.98kB |
Type: Course
Tags: Coursera, neuralnets
Bibtex:
Tags: Coursera, neuralnets
Bibtex:
@article{, title = {[Coursera] Neural Networks for Machine Learning (University of Toronto) (neuralnets)}, author = {University of Toronto} }