| 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 |
| 12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.srt |
18.65kB |
| 12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.txt |
12.19kB |
| 12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.mp4 |
13.29MB |
| 12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.srt |
13.92kB |
| 12_Lecture12/03_Restricted_Boltzmann_Machines_11_min.txt |
9.09kB |
| 12_Lecture12/04_An_example_of_RBM_learning_7_mins.mp4 |
9.13MB |
| 12_Lecture12/04_An_example_of_RBM_learning_7_mins.srt |
10.10kB |
| 12_Lecture12/04_An_example_of_RBM_learning_7_mins.txt |
6.63kB |
| 12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.mp4 |
10.00MB |
| 12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.srt |
10.93kB |
| 12_Lecture12/05_RBMs_for_collaborative_filtering_8_mins.txt |
7.16kB |
| 13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.mp4 |
12.40MB |
| 13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.pdf |
314.62kB |
| 13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.pptx |
424.75kB |
| 13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.srt |
13.97kB |
| 13_Lecture13/01_The_ups_and_downs_of_back_propagation_10_min.txt |
9.06kB |
| 13_Lecture13/02_Belief_Nets_13_min.mp4 |
15.58MB |
| 13_Lecture13/02_Belief_Nets_13_min.srt |
17.76kB |
| 13_Lecture13/02_Belief_Nets_13_min.txt |
11.49kB |
| 13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.mp4 |
14.25MB |
| 13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.pdf |
2.41MB |
| 13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.srt |
14.96kB |
| 13_Lecture13/03_Learning_sigmoid_belief_nets_12_min.txt |
9.75kB |
| 13_Lecture13/04_The_wake-sleep_algorithm_13_min.mp4 |
16.44MB |
| 13_Lecture13/04_The_wake-sleep_algorithm_13_min.pdf |
261.48kB |
| 13_Lecture13/04_The_wake-sleep_algorithm_13_min.srt |
17.82kB |
| 13_Lecture13/04_The_wake-sleep_algorithm_13_min.txt |
11.47kB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.mp4 |
21.04MB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.pdf |
1.16MB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.pptx |
1.26MB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.srt |
23.35kB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.txt |
15.55kB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_0_Self-taught_learning-_transfer_learning_from_unlabeled_data.pdf |
484.88kB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_1_easy_To_recognize_shapes_first_learn_to_generate_images.pdf |
513.90kB |
| 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min_2_hard_A_fast_learning_algorithm_for_deep_belief_nets.pdf |
787.78kB |
| 14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.mp4 |
11.84MB |
| 14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.srt |
13.05kB |
| 14_Lecture14/02_Discriminative_learning_for_DBNs_9_mins.txt |
8.67kB |
| 14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.mp4 |
10.67MB |
| 14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.srt |
10.91kB |
| 14_Lecture14/03_What_happens_during_discriminative_fine-tuning_8_mins.txt |
7.35kB |
| 14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.mp4 |
11.74MB |
| 14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.srt |
12.44kB |
| 14_Lecture14/04_Modeling_real-valued_data_with_an_RBM_10_mins.txt |
8.32kB |
| 14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.mp4 |
20.38MB |
| 14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.srt |
22.15kB |
| 14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.txt |
14.74kB |
| 15_Lecture15/01_From_PCA_to_autoencoders_5_mins.mp4 |
10.15MB |
| 15_Lecture15/01_From_PCA_to_autoencoders_5_mins.pdf |
2.61MB |
| 15_Lecture15/01_From_PCA_to_autoencoders_5_mins.pptx |
1.89MB |
| 15_Lecture15/01_From_PCA_to_autoencoders_5_mins.srt |
10.51kB |
| 15_Lecture15/01_From_PCA_to_autoencoders_5_mins.txt |
7.01kB |
| 15_Lecture15/02_Deep_auto_encoders_4_mins.mp4 |
5.16MB |
| 15_Lecture15/02_Deep_auto_encoders_4_mins.srt |
5.48kB |
| 15_Lecture15/02_Deep_auto_encoders_4_mins.txt |
3.66kB |
| 15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.mp4 |
10.74MB |
| 15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.srt |
10.77kB |
| 15_Lecture15/03_Deep_auto_encoders_for_document_retrieval_8_mins.txt |
7.24kB |
| 15_Lecture15/04_Semantic_Hashing_9_mins.mp4 |
10.47MB |
| 15_Lecture15/04_Semantic_Hashing_9_mins.pdf |
641.60kB |
| 15_Lecture15/04_Semantic_Hashing_9_mins.srt |
11.59kB |
| 15_Lecture15/04_Semantic_Hashing_9_mins.txt |
7.78kB |
| 15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.mp4 |
12.06MB |
| 15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.pdf |
759.21kB |
| 15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.srt |
13.20kB |
| 15_Lecture15/05_Learning_binary_codes_for_image_retrieval_9_mins.txt |
8.87kB |
| 15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.mp4 |
8.65MB |
| 15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.srt |
10.29kB |
| 15_Lecture15/06_Shallow_autoencoders_for_pre-training_7_mins.txt |
6.97kB |
| 16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.mp4 |
14.50MB |
| 16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pdf |
346.87kB |
| 16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pptx |
344.30kB |
| 16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.srt |
10.56kB |
| 16_Lecture16/01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.txt |
7.13kB |
| 16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.mp4 |
11.70MB |
| 16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.srt |
13.66kB |
| 16_Lecture16/02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.txt |
9.19kB |
| 16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.mp4 |
16.57MB |
| 16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.srt |
18.98kB |
| 16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.txt |
12.72kB |
| 16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.mp4 |
2.92MB |
| 16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pdf |
346.87kB |
| 16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.pptx |
344.30kB |
| 16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.srt |
3.58kB |
| 16_Lecture16/04_OPTIONAL-_The_fog_of_progress_3_min.txt |
2.36kB |
| AboutUs/AboutUs.html |
37.44kB |
| AboutUs/links.txt |
1.57kB |
| CourseLogistics/CourseLogistics.html |
39.06kB |
| CourseLogistics/links.txt |
1.57kB |
| DiscussionForums/DiscussionForums.html |
62.64kB |
| DiscussionForums/links.txt |
2.72kB |
| Home/Home.html |
64.38kB |
| Home/README_tsne.txt |
0.24kB |
| Home/links.txt |
2.17kB |
| Home/zip_page.html |
64.38kB |
| OctaveInstallation/OctaveInstallation.html |
33.10kB |
| OctaveInstallation/links.txt |
1.41kB |
| QuickQuestions15/QuickQuestions15.html |
56.50kB |
| QuickQuestions15/links.txt |
1.44kB |
| Quizzes.html |
123.53kB |
| Quizzes/0_Lecture_1_Quiz/0_Lecture_1_Quiz.html |
49.47kB |
| Quizzes/0_Lecture_1_Quiz/links.txt |
1.57kB |
| Quizzes/10_Lecture_9_Quiz/10_Lecture_9_Quiz.html |
115.28kB |
| Quizzes/10_Lecture_9_Quiz/links.txt |
1.58kB |
| Quizzes/11_Programming_assignment_3_Optimization_and_generalization/11_Programming_assignment_3_Optimization_and_generalization.html |
85.15kB |
| Quizzes/11_Programming_assignment_3_Optimization_and_generalization/a3.m |
11.61kB |
| Quizzes/11_Programming_assignment_3_Optimization_and_generalization/data.mat |
23.41MB |
| Quizzes/11_Programming_assignment_3_Optimization_and_generalization/links.txt |
2.17kB |
| Quizzes/11_Programming_assignment_3_Optimization_and_generalization/zip_page.html |
85.15kB |
| Quizzes/12_Lecture_10_Quiz/12_Lecture_10_Quiz.html |
61.42kB |
| Quizzes/12_Lecture_10_Quiz/links.txt |
1.58kB |
| Quizzes/13_Lecture_11_Quiz/13_Lecture_11_Quiz.html |
130.08kB |
| Quizzes/13_Lecture_11_Quiz/links.txt |
1.58kB |
| Quizzes/14_Lecture_12_Quiz/14_Lecture_12_Quiz.html |
191.67kB |
| Quizzes/14_Lecture_12_Quiz/links.txt |
1.58kB |
| Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/15_Programming_Assignment_4_Restricted_Boltzmann_Machines.html |
74.83kB |
| Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/a4.zip |
5.30MB |
| Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/links.txt |
1.83kB |
| Quizzes/15_Programming_Assignment_4_Restricted_Boltzmann_Machines/zip_page.html |
74.83kB |
| Quizzes/16_Lecture_13_Quiz/16_Lecture_13_Quiz.html |
97.55kB |
| Quizzes/16_Lecture_13_Quiz/links.txt |
1.67kB |
| Quizzes/17_Lecture_14_Quiz/17_Lecture_14_Quiz.html |
101.87kB |
| Quizzes/17_Lecture_14_Quiz/links.txt |
1.58kB |
| Quizzes/18_Lecture_15_Quiz/18_Lecture_15_Quiz.html |
77.41kB |
| Quizzes/18_Lecture_15_Quiz/links.txt |
1.62kB |
| Quizzes/19_Final_Exam/19_Final_Exam.html |
153.49kB |
| Quizzes/19_Final_Exam/links.txt |
1.58kB |
| Quizzes/1_Lecture_2_Quiz/1_Lecture_2_Quiz.html |
104.13kB |
| Quizzes/1_Lecture_2_Quiz/links.txt |
1.57kB |
| Quizzes/2_Lecture_3_Quiz/2_Lecture_3_Quiz.html |
127.03kB |
| Quizzes/2_Lecture_3_Quiz/links.txt |
1.58kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/3_Programming_Assignment_1_The_perceptron_learning_algorithm.html |
70.34kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/Assignment1.zip |
7.99kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset1.mat |
0.60kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset1_ancient_octave.mat |
0.78kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset2.mat |
0.61kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset2_ancient_octave.mat |
0.80kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset3.mat |
0.70kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset3_ancient_octave.mat |
1.01kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset4.mat |
0.72kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/dataset4_ancient_octave.mat |
1.09kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/learn_perceptron.m |
6.03kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/links.txt |
3.11kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/plot_perceptron.m |
3.41kB |
| Quizzes/3_Programming_Assignment_1_The_perceptron_learning_algorithm/zip_page.html |
70.34kB |
| Quizzes/4_Lecture_4_Quiz/4_Lecture_4_Quiz.html |
195.47kB |
| Quizzes/4_Lecture_4_Quiz/links.txt |
1.58kB |
| Quizzes/5_Lecture_5_Quiz/5_Lecture_5_Quiz.html |
302.05kB |
| Quizzes/5_Lecture_5_Quiz/links.txt |
1.58kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/6_Programming_Assignment_2_Learning_Word_Representations.html |
61.35kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/README.txt |
5.89kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/assignment2.zip |
2.81MB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/data.mat |
7.47MB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/display_nearest_word.m |
0.24kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/fprop.m |
3.73kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/links.txt |
2.79kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/load_data.m |
1.16kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/predict_next_word.m |
1.29kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/raw_sentences.txt |
2.96MB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/sample_output.txt |
1.55kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/sed89tsNN |
0.00kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/train.m |
8.68kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/word_distance.m |
0.82kB |
| Quizzes/6_Programming_Assignment_2_Learning_Word_Representations/zip_page.html |
61.35kB |
| Quizzes/7_Lecture_6_Quiz/7_Lecture_6_Quiz.html |
57.60kB |
| Quizzes/7_Lecture_6_Quiz/links.txt |
1.58kB |
| Quizzes/8_Lecture_7_Quiz/8_Lecture_7_Quiz.html |
178.17kB |
| Quizzes/8_Lecture_7_Quiz/links.txt |
1.58kB |
| Quizzes/9_Lecture_8_Quiz/9_Lecture_8_Quiz.html |
63.85kB |
| Quizzes/9_Lecture_8_Quiz/links.txt |
1.58kB |
| Student Survey.html |
34.15kB |
| StudentSurvey/0_Student_Survey/0_Student_Survey.html |
53.74kB |
| StudentSurvey/0_Student_Survey/links.txt |
1.59kB |
| Syllabus/Syllabus.html |
38.16kB |
| Syllabus/links.txt |
1.57kB |
| assignment_home.html |
32.52kB |
| course_home.html |
64.39kB |
| entered_login.html |
1.37MB |
| neuralnets-2012-001-about.json |
5.16kB |
pj
