[Coursera] Neural Networks for Machine Learning (University of Toronto) (neuralnets)
University of Toronto

Info hash3e6f1876bbd46780602e72f4b122329fb668bd2c
Last mirror activity1:24 ago
Size1.03GB (1,026,708,997 bytes)
Added2017-03-05 01:25:38
Views410
Hits1263
ID3636
Downloaded950 time(s)
Uploaded bygravatar.com icon for user pj
Folderneuralnets-2012-001
Num files378 files
File list
[Hide list]
PathSize
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.mp415.78MB
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pdf4.06MB
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.pptx3.80MB
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.srt18.78kB
01_Lecture1/01_Why_do_we_need_machine_learning_13_min.txt12.17kB
01_Lecture1/02_What_are_neural_networks_8_min.mp410.23MB
01_Lecture1/02_What_are_neural_networks_8_min.srt11.78kB
01_Lecture1/02_What_are_neural_networks_8_min.txt7.67kB
01_Lecture1/03_Some_simple_models_of_neurons_8_min.mp49.71MB
01_Lecture1/03_Some_simple_models_of_neurons_8_min.srt10.95kB
01_Lecture1/03_Some_simple_models_of_neurons_8_min.txt7.11kB
01_Lecture1/04_A_simple_example_of_learning_6_min.mp46.89MB
01_Lecture1/04_A_simple_example_of_learning_6_min.srt7.19kB
01_Lecture1/04_A_simple_example_of_learning_6_min.txt4.76kB
01_Lecture1/05_Three_types_of_learning_8_min.mp49.39MB
01_Lecture1/05_Three_types_of_learning_8_min.srt10.64kB
01_Lecture1/05_Three_types_of_learning_8_min.txt6.99kB
02_Lecture2/01_Types_of_neural_network_architectures_7_min.mp49.20MB
02_Lecture2/01_Types_of_neural_network_architectures_7_min.pdf504.78kB
02_Lecture2/01_Types_of_neural_network_architectures_7_min.pptx409.21kB
02_Lecture2/01_Types_of_neural_network_architectures_7_min.srt10.09kB
02_Lecture2/01_Types_of_neural_network_architectures_7_min.txt6.62kB
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.mp49.85MB
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.srt11.12kB
02_Lecture2/02_Perceptrons-_The_first_generation_of_neural_networks_8_min.txt7.32kB
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.mp47.68MB
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.srt8.49kB
02_Lecture2/03_A_geometrical_view_of_perceptrons_6_min.txt5.51kB
02_Lecture2/04_Why_the_learning_works_5_min.mp46.18MB
02_Lecture2/04_Why_the_learning_works_5_min.srt6.56kB
02_Lecture2/04_Why_the_learning_works_5_min.txt4.31kB
02_Lecture2/05_What_perceptrons_cant_do_15_min.mp417.38MB
02_Lecture2/05_What_perceptrons_cant_do_15_min.srt18.95kB
02_Lecture2/05_What_perceptrons_cant_do_15_min.txt12.37kB
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.mp414.18MB
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.pdf548.03kB
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.pptx1.19MB
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.srt15.45kB
03_Lecture3/01_Learning_the_weights_of_a_linear_neuron_12_min.txt10.13kB
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.mp46.18MB
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.srt6.46kB
03_Lecture3/02_The_error_surface_for_a_linear_neuron_5_min.txt4.21kB
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.mp44.59MB
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.srt4.56kB
03_Lecture3/03_Learning_the_weights_of_a_logistic_output_neuron_4_min.txt3.02kB
03_Lecture3/04_The_backpropagation_algorithm_12_min.mp414.00MB
03_Lecture3/04_The_backpropagation_algorithm_12_min.pdf3.10MB
03_Lecture3/04_The_backpropagation_algorithm_12_min.srt15.23kB
03_Lecture3/04_The_backpropagation_algorithm_12_min.txt9.98kB
03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.mp411.70MB
03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.srt13.91kB
03_Lecture3/05_Using_the_derivatives_computed_by_backpropagation_10_min.txt9.12kB
04_Lecture4/01_Learning_to_predict_the_next_word_13_min.mp414.97MB
04_Lecture4/01_Learning_to_predict_the_next_word_13_min.pdf964.08kB
04_Lecture4/01_Learning_to_predict_the_next_word_13_min.pptx1.15MB
04_Lecture4/01_Learning_to_predict_the_next_word_13_min.srt16.88kB
04_Lecture4/01_Learning_to_predict_the_next_word_13_min.txt11.06kB
04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.mp45.57MB
04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.srt5.89kB
04_Lecture4/02_A_brief_diversion_into_cognitive_science_4_min.txt3.83kB
04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.mp48.42MB
04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.srt9.29kB
04_Lecture4/03_Another_diversion-_The_softmax_output_function_7_min.txt6.08kB
04_Lecture4/04_Neuro-probabilistic_language_models_8_min.mp49.37MB
04_Lecture4/04_Neuro-probabilistic_language_models_8_min.pdf140.10kB
04_Lecture4/04_Neuro-probabilistic_language_models_8_min.srt10.96kB
04_Lecture4/04_Neuro-probabilistic_language_models_8_min.txt7.16kB
04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.mp414.95MB
04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.png154.42kB
04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.srt18.56kB
04_Lecture4/05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.txt12.02kB
05_Lecture5/01_Why_object_recognition_is_difficult_5_min.mp45.63MB
05_Lecture5/01_Why_object_recognition_is_difficult_5_min.pdf1.63MB
05_Lecture5/01_Why_object_recognition_is_difficult_5_min.pptx1.73MB
05_Lecture5/01_Why_object_recognition_is_difficult_5_min.srt6.31kB
05_Lecture5/01_Why_object_recognition_is_difficult_5_min.txt4.13kB
05_Lecture5/02_Achieving_viewpoint_invariance_6_min.mp47.23MB
05_Lecture5/02_Achieving_viewpoint_invariance_6_min.srt8.31kB
05_Lecture5/02_Achieving_viewpoint_invariance_6_min.txt5.36kB
05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.mp419.36MB
05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.srt22.06kB
05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.txt14.23kB
05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.mp424.15MB
05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.pdf125.35kB
05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.srt26.25kB
05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.txt17.01kB
05_Lecture5/04_Convolutional_nets_for_object_recognition_17min_0_hard_Gradient-based_learning_applied_to_document_recognition.pdf955.06kB
06_Lecture6/01_Overview_of_mini-batch_gradient_descent.mp410.07MB
06_Lecture6/01_Overview_of_mini-batch_gradient_descent.pdf546.84kB
06_Lecture6/01_Overview_of_mini-batch_gradient_descent.pptx672.62kB
06_Lecture6/01_Overview_of_mini-batch_gradient_descent.srt12.24kB
06_Lecture6/01_Overview_of_mini-batch_gradient_descent.txt7.98kB
06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.mp415.62MB
06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.srt19.22kB
06_Lecture6/02_A_bag_of_tricks_for_mini-batch_gradient_descent.txt12.45kB
06_Lecture6/03_The_momentum_method.mp410.21MB
06_Lecture6/03_The_momentum_method.srt11.40kB
06_Lecture6/03_The_momentum_method.txt7.41kB
06_Lecture6/04_Adaptive_learning_rates_for_each_connection.mp46.95MB
06_Lecture6/04_Adaptive_learning_rates_for_each_connection.srt7.91kB
06_Lecture6/04_Adaptive_learning_rates_for_each_connection.txt5.19kB
06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.mp415.85MB
06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.srt16.06kB
06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.txt10.47kB
07_Lecture7/01_Modeling_sequences-_A_brief_overview.mp421.11MB
07_Lecture7/01_Modeling_sequences-_A_brief_overview.pdf975.96kB
07_Lecture7/01_Modeling_sequences-_A_brief_overview.pptx228.02kB
07_Lecture7/01_Modeling_sequences-_A_brief_overview.srt23.19kB
07_Lecture7/01_Modeling_sequences-_A_brief_overview.txt15.05kB
07_Lecture7/02_Training_RNNs_with_back_propagation.mp47.68MB
07_Lecture7/02_Training_RNNs_with_back_propagation.srt8.57kB
07_Lecture7/02_Training_RNNs_with_back_propagation.txt5.65kB
07_Lecture7/03_A_toy_example_of_training_an_RNN.mp47.59MB
07_Lecture7/03_A_toy_example_of_training_an_RNN.srt7.70kB
07_Lecture7/03_A_toy_example_of_training_an_RNN.txt5.01kB
07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.mp49.32MB
07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.srt10.03kB
07_Lecture7/04_Why_it_is_difficult_to_train_an_RNN.txt6.60kB
07_Lecture7/05_Long-term_Short-term-memory.mp410.73MB
07_Lecture7/05_Long-term_Short-term-memory.pdf320.59kB
07_Lecture7/05_Long-term_Short-term-memory.srt11.90kB
07_Lecture7/05_Long-term_Short-term-memory.txt7.86kB
08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.mp417.03MB
08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.pdf658.31kB
08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.pptx568.19kB
08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.srt18.38kB
08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.txt11.92kB
08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.mp417.36MB
08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.srt17.90kB
08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.txt11.78kB
08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.mp414.60MB
08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.pdf273.40kB
08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.srt16.11kB
08_Lecture8/03_Learning_to_predict_the_next_character_using_HF_12__mins.txt10.37kB
08_Lecture8/04_Echo_State_Networks_9_min.mp411.82MB
08_Lecture8/04_Echo_State_Networks_9_min.srt12.27kB
08_Lecture8/04_Echo_State_Networks_9_min.txt8.04kB
09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.mp414.23MB
09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.pdf718.98kB
09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.pptx1.55MB
09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.srt16.18kB
09_Lecture9/01_Overview_of_ways_to_improve_generalization_12_min.txt10.59kB
09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.mp47.72MB
09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.srt8.61kB
09_Lecture9/02_Limiting_the_size_of_the_weights_6_min.txt5.63kB
09_Lecture9/03_Using_noise_as_a_regularizer_7_min.mp48.90MB
09_Lecture9/03_Using_noise_as_a_regularizer_7_min.srt9.08kB
09_Lecture9/03_Using_noise_as_a_regularizer_7_min.txt5.98kB
09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.mp412.59MB
09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.srt13.49kB
09_Lecture9/04_Introduction_to_the_full_Bayesian_approach_12_min.txt8.78kB
09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.mp412.87MB
09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.srt13.33kB
09_Lecture9/05_The_Bayesian_interpretation_of_weight_decay_11_min.txt8.81kB
09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.mp44.59MB
09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.srt4.51kB
09_Lecture9/06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.txt2.97kB
10_Lecture10/01_Why_it_helps_to_combine_models_13_min.mp415.86MB
10_Lecture10/01_Why_it_helps_to_combine_models_13_min.pdf847.10kB
10_Lecture10/01_Why_it_helps_to_combine_models_13_min.pptx901.58kB
10_Lecture10/01_Why_it_helps_to_combine_models_13_min.srt18.10kB
10_Lecture10/01_Why_it_helps_to_combine_models_13_min.txt11.75kB
10_Lecture10/02_Mixtures_of_Experts_13_min.mp415.71MB
10_Lecture10/02_Mixtures_of_Experts_13_min.pdf271.11kB
10_Lecture10/02_Mixtures_of_Experts_13_min.srt17.47kB
10_Lecture10/02_Mixtures_of_Experts_13_min.txt11.42kB
10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.mp48.80MB
10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.srt10.53kB
10_Lecture10/03_The_idea_of_full_Bayesian_learning_7_min.txt6.88kB
10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.mp48.53MB
10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.srt8.66kB
10_Lecture10/04_Making_full_Bayesian_learning_practical_7_min.txt5.71kB
10_Lecture10/05_Dropout_9_min.mp410.16MB
10_Lecture10/05_Dropout_9_min.pdf1.67MB
10_Lecture10/05_Dropout_9_min.srt11.97kB
10_Lecture10/05_Dropout_9_min.txt7.75kB
11_Lecture11/01_Hopfield_Nets_13_min.mp415.36MB
11_Lecture11/01_Hopfield_Nets_13_min.pdf711.19kB
11_Lecture11/01_Hopfield_Nets_13_min.pptx743.83kB
11_Lecture11/01_Hopfield_Nets_13_min.srt16.76kB
11_Lecture11/01_Hopfield_Nets_13_min.txt10.86kB
11_Lecture11/02_Dealing_with_spurious_minima_11_min.mp413.39MB
11_Lecture11/02_Dealing_with_spurious_minima_11_min.srt15.21kB
11_Lecture11/02_Dealing_with_spurious_minima_11_min.txt10.00kB
11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.mp411.86MB
11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.srt12.59kB
11_Lecture11/03_Hopfield_nets_with_hidden_units_10_min.txt8.29kB
11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.mp412.34MB
11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.srt14.33kB
11_Lecture11/04_Using_stochastic_units_to_improv_search_11_min.txt9.34kB
11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.mp413.93MB
11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.srt16.27kB
11_Lecture11/05_How_a_Boltzmann_machine_models_data_12_min.txt10.53kB
12_Lecture12/01_Boltzmann_machine_learning_12_min.mp414.71MB
12_Lecture12/01_Boltzmann_machine_learning_12_min.pdf1.83MB
12_Lecture12/01_Boltzmann_machine_learning_12_min.pptx1.97MB
12_Lecture12/01_Boltzmann_machine_learning_12_min.srt16.41kB
12_Lecture12/01_Boltzmann_machine_learning_12_min.txt10.70kB
12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.mp417.76MB
12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.srt18.65kB
12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.txt12.19kB
12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.mp413.29MB
12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.srt13.92kB
12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.txt9.09kB
12_Lecture12/04_An_example_of_RBM_learning_7_mins.mp49.13MB
12_Lecture12/04_An_example_of_RBM_learning_7_mins.srt10.10kB
12_Lecture12/04_An_example_of_RBM_learning_7_mins.txt6.63kB
12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.mp410.00MB
12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.srt10.93kB
12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.txt7.16kB
13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.mp412.40MB
13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.pdf314.62kB
13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.pptx424.75kB
13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.srt13.97kB
13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.txt9.06kB
13_Lecture13/02_Belief_Nets_13_min.mp415.58MB
13_Lecture13/02_Belief_Nets_13_min.srt17.76kB
13_Lecture13/02_Belief_Nets_13_min.txt11.49kB
13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.mp414.25MB
13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.pdf2.41MB
13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.srt14.96kB
13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.txt9.75kB
13_Lecture13/04_The_wake-sleep_algorithm_13_min.mp416.44MB
13_Lecture13/04_The_wake-sleep_algorithm_13_min.pdf261.48kB
13_Lecture13/04_The_wake-sleep_algorithm_13_min.srt17.82kB
13_Lecture13/04_The_wake-sleep_algorithm_13_min.txt11.47kB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.mp421.04MB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.pdf1.16MB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.pptx1.26MB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.srt23.35kB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.txt15.55kB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_0_Self-taught_learning-_transfer_learning_from_unlabeled_data.pdf484.88kB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_1_easy_To_recognize_shapes_first_learn_to_generate_images.pdf513.90kB
14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_2_hard_A_fast_learning_algorithm_for_deep_belief_nets.pdf787.78kB
14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.mp411.84MB
14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.srt13.05kB
14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.txt8.67kB
14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.mp410.67MB
14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.srt10.91kB
14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.txt7.35kB
14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.mp411.74MB
14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.srt12.44kB
14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.txt8.32kB
14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.mp420.38MB
14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.srt22.15kB
14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.txt14.74kB
15_Lecture15/01_From_PCA_to_autoencoders_5_mins.mp410.15MB
15_Lecture15/01_From_PCA_to_autoencoders_5_mins.pdf2.61MB
15_Lecture15/01_From_PCA_to_autoencoders_5_mins.pptx1.89MB
15_Lecture15/01_From_PCA_to_autoencoders_5_mins.srt10.51kB
15_Lecture15/01_From_PCA_to_autoencoders_5_mins.txt7.01kB
15_Lecture15/02_Deep_auto_encoders_4_mins.mp45.16MB
15_Lecture15/02_Deep_auto_encoders_4_mins.srt5.48kB
15_Lecture15/02_Deep_auto_encoders_4_mins.txt3.66kB
15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.mp410.74MB
15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.srt10.77kB
15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.txt7.24kB
15_Lecture15/04_Semantic_Hashing_9_mins.mp410.47MB
15_Lecture15/04_Semantic_Hashing_9_mins.pdf641.60kB
15_Lecture15/04_Semantic_Hashing_9_mins.srt11.59kB
15_Lecture15/04_Semantic_Hashing_9_mins.txt7.78kB
15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.mp412.06MB
15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.pdf759.21kB
15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.srt13.20kB
15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.txt8.87kB
15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.mp48.65MB
15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.srt10.29kB
15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.txt6.97kB
16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.mp414.50MB
16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pdf346.87kB
16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pptx344.30kB
16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.srt10.56kB
16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.txt7.13kB
16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.mp411.70MB
16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.srt13.66kB
16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.txt9.19kB
16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.mp416.57MB
16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.srt18.98kB
16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.txt12.72kB
16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.mp42.92MB
16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pdf346.87kB
16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pptx344.30kB
16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.srt3.58kB
16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.txt2.36kB
AboutUs/AboutUs.html37.44kB
AboutUs/links.txt1.57kB
CourseLogistics/CourseLogistics.html39.06kB
CourseLogistics/links.txt1.57kB
DiscussionForums/DiscussionForums.html62.64kB
DiscussionForums/links.txt2.72kB
Home/Home.html64.38kB
Home/README_tsne.txt0.24kB
Home/links.txt2.17kB
Home/zip_page.html64.38kB
OctaveInstallation/OctaveInstallation.html33.10kB
OctaveInstallation/links.txt1.41kB
QuickQuestions15/QuickQuestions15.html56.50kB
QuickQuestions15/links.txt1.44kB
Quizzes.html123.53kB
Quizzes/0_Lecture_1_Quiz/0_Lecture_1_Quiz.html49.47kB
Quizzes/0_Lecture_1_Quiz/links.txt1.57kB
Quizzes/10_Lecture_9_Quiz/10_Lecture_9_Quiz.html115.28kB
Quizzes/10_Lecture_9_Quiz/links.txt1.58kB
Quizzes/11_Programming_assignment_3_Optimization_and_generalization/11_Programming_assignment_3_Optimization_and_generalization.html85.15kB
Quizzes/11_Programming_assignment_3_Optimization_and_generalization/a3.m11.61kB
Quizzes/11_Programming_assignment_3_Optimization_and_generalization/data.mat23.41MB
Quizzes/11_Programming_assignment_3_Optimization_and_generalization/links.txt2.17kB
Quizzes/11_Programming_assignment_3_Optimization_and_generalization/zip_page.html85.15kB
Quizzes/12_Lecture_10_Quiz/12_Lecture_10_Quiz.html61.42kB
Quizzes/12_Lecture_10_Quiz/links.txt1.58kB
Quizzes/13_Lecture_11_Quiz/13_Lecture_11_Quiz.html130.08kB
Quizzes/13_Lecture_11_Quiz/links.txt1.58kB
Quizzes/14_Lecture_12_Quiz/14_Lecture_12_Quiz.html191.67kB
Quizzes/14_Lecture_12_Quiz/links.txt1.58kB
Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/15_Programming_Assignment_4_Restricted_Boltzmann_Machines.html74.83kB
Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/a4.zip5.30MB
Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/links.txt1.83kB
Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/zip_page.html74.83kB
Quizzes/16_Lecture_13_Quiz/16_Lecture_13_Quiz.html97.55kB
Quizzes/16_Lecture_13_Quiz/links.txt1.67kB
Quizzes/17_Lecture_14_Quiz/17_Lecture_14_Quiz.html101.87kB
Quizzes/17_Lecture_14_Quiz/links.txt1.58kB
Quizzes/18_Lecture_15_Quiz/18_Lecture_15_Quiz.html77.41kB
Quizzes/18_Lecture_15_Quiz/links.txt1.62kB
Quizzes/19_Final_Exam/19_Final_Exam.html153.49kB
Quizzes/19_Final_Exam/links.txt1.58kB
Quizzes/1_Lecture_2_Quiz/1_Lecture_2_Quiz.html104.13kB
Quizzes/1_Lecture_2_Quiz/links.txt1.57kB
Quizzes/2_Lecture_3_Quiz/2_Lecture_3_Quiz.html127.03kB
Quizzes/2_Lecture_3_Quiz/links.txt1.58kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/3_Programming_Assignment_1_The_perceptron_learning_algorithm.html70.34kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/Assignment1.zip7.99kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset1.mat0.60kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset1_ancient_octave.mat0.78kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset2.mat0.61kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset2_ancient_octave.mat0.80kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset3.mat0.70kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset3_ancient_octave.mat1.01kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset4.mat0.72kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset4_ancient_octave.mat1.09kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/learn_perceptron.m6.03kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/links.txt3.11kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/plot_perceptron.m3.41kB
Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/zip_page.html70.34kB
Quizzes/4_Lecture_4_Quiz/4_Lecture_4_Quiz.html195.47kB
Quizzes/4_Lecture_4_Quiz/links.txt1.58kB
Quizzes/5_Lecture_5_Quiz/5_Lecture_5_Quiz.html302.05kB
Quizzes/5_Lecture_5_Quiz/links.txt1.58kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/6_Programming_Assignment_2_Learning_Word_Representations.html61.35kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/README.txt5.89kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/assignment2.zip2.81MB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/data.mat7.47MB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/display_nearest_word.m0.24kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/fprop.m3.73kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/links.txt2.79kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/load_data.m1.16kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/predict_next_word.m1.29kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/raw_sentences.txt2.96MB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/sample_output.txt1.55kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/sed89tsNN0.00kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/train.m8.68kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/word_distance.m0.82kB
Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/zip_page.html61.35kB
Quizzes/7_Lecture_6_Quiz/7_Lecture_6_Quiz.html57.60kB
Quizzes/7_Lecture_6_Quiz/links.txt1.58kB
Quizzes/8_Lecture_7_Quiz/8_Lecture_7_Quiz.html178.17kB
Quizzes/8_Lecture_7_Quiz/links.txt1.58kB
Quizzes/9_Lecture_8_Quiz/9_Lecture_8_Quiz.html63.85kB
Quizzes/9_Lecture_8_Quiz/links.txt1.58kB
Student Survey.html34.15kB
StudentSurvey/0_Student_Survey/0_Student_Survey.html53.74kB
StudentSurvey/0_Student_Survey/links.txt1.59kB
Syllabus/Syllabus.html38.16kB
Syllabus/links.txt1.57kB
assignment_home.html32.52kB
course_home.html64.39kB
entered_login.html1.37MB
neuralnets-2012-001-about.json5.16kB
Mirrors27 complete, 0 downloading = 27 mirror(s) total [Log in to see full list]