[Coursera] Neural Networks for Machine Learning (University of Toronto) (neuralnets)
University of Toronto
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 |
| 03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.mp4 | 11.70MB |
| 03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.srt | 13.91kB |
| 03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.txt | 9.12kB |
| 04_Lecture4/01_Learning_to_predict_the_next_word_13_min.mp4 | 14.97MB |
| 04_Lecture4/01_Learning_to_predict_the_next_word_13_min.pdf | 964.08kB |
| 04_Lecture4/01_Learning_to_predict_the_next_word_13_min.pptx | 1.15MB |
| 04_Lecture4/01_Learning_to_predict_the_next_word_13_min.srt | 16.88kB |
| 04_Lecture4/01_Learning_to_predict_the_next_word_13_min.txt | 11.06kB |
| 04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.mp4 | 5.57MB |
| 04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.srt | 5.89kB |
| 04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.txt | 3.83kB |
| 04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.mp4 | 8.42MB |
| 04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.srt | 9.29kB |
| 04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.txt | 6.08kB |
| 04_Lecture4/04_Neuro-probabilistic_language_models_8_min.mp4 | 9.37MB |
| 04_Lecture4/04_Neuro-probabilistic_language_models_8_min.pdf | 140.10kB |
| 04_Lecture4/04_Neuro-probabilistic_language_models_8_min.srt | 10.96kB |
| 04_Lecture4/04_Neuro-probabilistic_language_models_8_min.txt | 7.16kB |
| 04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.mp4 | 14.95MB |
| 04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.png | 154.42kB |
| 04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.srt | 18.56kB |
| 04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.txt | 12.02kB |
| 05_Lecture5/01_Why_object_recognition_is_difficult_5_min.mp4 | 5.63MB |
| 05_Lecture5/01_Why_object_recognition_is_difficult_5_min.pdf | 1.63MB |
| 05_Lecture5/01_Why_object_recognition_is_difficult_5_min.pptx | 1.73MB |
| 05_Lecture5/01_Why_object_recognition_is_difficult_5_min.srt | 6.31kB |
| 05_Lecture5/01_Why_object_recognition_is_difficult_5_min.txt | 4.13kB |
| 05_Lecture5/02_Achieving_viewpoint_invariance_6_min.mp4 | 7.23MB |
| 05_Lecture5/02_Achieving_viewpoint_invariance_6_min.srt | 8.31kB |
| 05_Lecture5/02_Achieving_viewpoint_invariance_6_min.txt | 5.36kB |
| 05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.mp4 | 19.36MB |
| 05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.srt | 22.06kB |
| 05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.txt | 14.23kB |
| 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.mp4 | 24.15MB |
| 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.pdf | 125.35kB |
| 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.srt | 26.25kB |
| 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.txt | 17.01kB |
| 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min_0_hard_Gradient-based_learning_applied_to_document_recognition.pdf | 955.06kB |
| 06_Lecture6/01_Overview_of_mini-batch_gradient_descent.mp4 | 10.07MB |
| 06_Lecture6/01_Overview_of_mini-batch_gradient_descent.pdf | 546.84kB |
| 06_Lecture6/01_Overview_of_mini-batch_gradient_descent.pptx | 672.62kB |
| 06_Lecture6/01_Overview_of_mini-batch_gradient_descent.srt | 12.24kB |
| 06_Lecture6/01_Overview_of_mini-batch_gradient_descent.txt | 7.98kB |
| 06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.mp4 | 15.62MB |
| 06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.srt | 19.22kB |
| 06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.txt | 12.45kB |
| 06_Lecture6/03_The_momentum_method.mp4 | 10.21MB |
| 06_Lecture6/03_The_momentum_method.srt | 11.40kB |
| 06_Lecture6/03_The_momentum_method.txt | 7.41kB |
| 06_Lecture6/04_Adaptive_learning_rates_for_each_connection.mp4 | 6.95MB |
| 06_Lecture6/04_Adaptive_learning_rates_for_each_connection.srt | 7.91kB |
| 06_Lecture6/04_Adaptive_learning_rates_for_each_connection.txt | 5.19kB |
| 06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.mp4 | 15.85MB |
| 06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.srt | 16.06kB |
| 06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.txt | 10.47kB |
| 07_Lecture7/01_Modeling_sequences-_A_brief_overview.mp4 | 21.11MB |
| 07_Lecture7/01_Modeling_sequences-_A_brief_overview.pdf | 975.96kB |
| 07_Lecture7/01_Modeling_sequences-_A_brief_overview.pptx | 228.02kB |
| 07_Lecture7/01_Modeling_sequences-_A_brief_overview.srt | 23.19kB |
| 07_Lecture7/01_Modeling_sequences-_A_brief_overview.txt | 15.05kB |
| 07_Lecture7/02_Training_RNNs_with_back_propagation.mp4 | 7.68MB |
| 07_Lecture7/02_Training_RNNs_with_back_propagation.srt | 8.57kB |
| 07_Lecture7/02_Training_RNNs_with_back_propagation.txt | 5.65kB |
| 07_Lecture7/03_A_toy_example_of_training_an_RNN.mp4 | 7.59MB |
| 07_Lecture7/03_A_toy_example_of_training_an_RNN.srt | 7.70kB |
| 07_Lecture7/03_A_toy_example_of_training_an_RNN.txt | 5.01kB |
| 07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.mp4 | 9.32MB |
| 07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.srt | 10.03kB |
| 07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.txt | 6.60kB |
| 07_Lecture7/05_Long-term_Short-term-memory.mp4 | 10.73MB |
| 07_Lecture7/05_Long-term_Short-term-memory.pdf | 320.59kB |
| 07_Lecture7/05_Long-term_Short-term-memory.srt | 11.90kB |
| 07_Lecture7/05_Long-term_Short-term-memory.txt | 7.86kB |
| 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.mp4 | 17.03MB |
| 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.pdf | 658.31kB |
| 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.pptx | 568.19kB |
| 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.srt | 18.38kB |
| 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.txt | 11.92kB |
| 08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.mp4 | 17.36MB |
| 08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.srt | 17.90kB |
| 08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.txt | 11.78kB |
| 08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.mp4 | 14.60MB |
| 08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.pdf | 273.40kB |
| 08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.srt | 16.11kB |
| 08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.txt | 10.37kB |
| 08_Lecture8/04_Echo_State_Networks_9_min.mp4 | 11.82MB |
| 08_Lecture8/04_Echo_State_Networks_9_min.srt | 12.27kB |
| 08_Lecture8/04_Echo_State_Networks_9_min.txt | 8.04kB |
| 09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.mp4 | 14.23MB |
| 09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.pdf | 718.98kB |
| 09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.pptx | 1.55MB |
| 09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.srt | 16.18kB |
| 09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.txt | 10.59kB |
| 09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.mp4 | 7.72MB |
| 09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.srt | 8.61kB |
| 09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.txt | 5.63kB |
| 09_Lecture9/03_Using_noise_as_a_regularizer_7_min.mp4 | 8.90MB |
| 09_Lecture9/03_Using_noise_as_a_regularizer_7_min.srt | 9.08kB |
| 09_Lecture9/03_Using_noise_as_a_regularizer_7_min.txt | 5.98kB |
| 09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.mp4 | 12.59MB |
| 09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.srt | 13.49kB |
| 09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.txt | 8.78kB |
| 09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.mp4 | 12.87MB |
| 09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.srt | 13.33kB |
| 09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.txt | 8.81kB |
| 09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.mp4 | 4.59MB |
| 09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.srt | 4.51kB |
| 09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.txt | 2.97kB |
| 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.mp4 | 15.86MB |
| 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.pdf | 847.10kB |
| 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.pptx | 901.58kB |
| 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.srt | 18.10kB |
| 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.txt | 11.75kB |
| 10_Lecture10/02_Mixtures_of_Experts_13_min.mp4 | 15.71MB |
| 10_Lecture10/02_Mixtures_of_Experts_13_min.pdf | 271.11kB |
| 10_Lecture10/02_Mixtures_of_Experts_13_min.srt | 17.47kB |
| 10_Lecture10/02_Mixtures_of_Experts_13_min.txt | 11.42kB |
| 10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.mp4 | 8.80MB |
| 10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.srt | 10.53kB |
| 10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.txt | 6.88kB |
| 10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.mp4 | 8.53MB |
| 10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.srt | 8.66kB |
| 10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.txt | 5.71kB |
| 10_Lecture10/05_Dropout_9_min.mp4 | 10.16MB |
| 10_Lecture10/05_Dropout_9_min.pdf | 1.67MB |
| 10_Lecture10/05_Dropout_9_min.srt | 11.97kB |
| 10_Lecture10/05_Dropout_9_min.txt | 7.75kB |
| 11_Lecture11/01_Hopfield_Nets_13_min.mp4 | 15.36MB |
| 11_Lecture11/01_Hopfield_Nets_13_min.pdf | 711.19kB |
| 11_Lecture11/01_Hopfield_Nets_13_min.pptx | 743.83kB |
| 11_Lecture11/01_Hopfield_Nets_13_min.srt | 16.76kB |
| 11_Lecture11/01_Hopfield_Nets_13_min.txt | 10.86kB |
| 11_Lecture11/02_Dealing_with_spurious_minima_11_min.mp4 | 13.39MB |
| 11_Lecture11/02_Dealing_with_spurious_minima_11_min.srt | 15.21kB |
| 11_Lecture11/02_Dealing_with_spurious_minima_11_min.txt | 10.00kB |
| 11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.mp4 | 11.86MB |
| 11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.srt | 12.59kB |
| 11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.txt | 8.29kB |
| 11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.mp4 | 12.34MB |
| 11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.srt | 14.33kB |
| 11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.txt | 9.34kB |
| 11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.mp4 | 13.93MB |
| 11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.srt | 16.27kB |
| 11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.txt | 10.53kB |
| 12_Lecture12/01_Boltzmann_machine_learning_12_min.mp4 | 14.71MB |
| 12_Lecture12/01_Boltzmann_machine_learning_12_min.pdf | 1.83MB |
| 12_Lecture12/01_Boltzmann_machine_learning_12_min.pptx | 1.97MB |
| 12_Lecture12/01_Boltzmann_machine_learning_12_min.srt | 16.41kB |
| 12_Lecture12/01_Boltzmann_machine_learning_12_min.txt | 10.70kB |
| 12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.mp4 | 17.76MB |
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}
}
10 day statistics (6 downloads)
| Average Time | 46 mins, 56 secs |
| Average Speed | 364.56kB/s |
| Best Time | 3 mins, 40 secs |
| Best Speed | 4.67MB/s |
| Worst Time | 1 hrs, 33 mins, 43 secs |
| Worst Speed | 182.59kB/s |
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