Coursera Neural Networks for Machine Learning by Geoffrey Hinton | 671DA68928377171085CAF0A2861D8C559E98F54

Coursera Neural Networks for Machine Learning by Geoffrey Hinton

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

/01_Lecture1/
01_Why_do_we_need_machine_learning_13_min.mp4	15.8 MB
01_Why_do_we_need_machine_learning_13_min.pdf	4.1 MB
01_Why_do_we_need_machine_learning_13_min.pptx	3.8 MB
01_Why_do_we_need_machine_learning_13_min.srt	18.8 KB
01_Why_do_we_need_machine_learning_13_min.txt	12.2 KB
02_What_are_neural_networks_8_min.mp4	10.2 MB
02_What_are_neural_networks_8_min.srt	11.8 KB
02_What_are_neural_networks_8_min.txt	7.7 KB
03_Some_simple_models_of_neurons_8_min.mp4	9.7 MB
03_Some_simple_models_of_neurons_8_min.srt	11.0 KB
03_Some_simple_models_of_neurons_8_min.txt	7.1 KB
04_A_simple_example_of_learning_6_min.mp4	6.9 MB
04_A_simple_example_of_learning_6_min.srt	7.2 KB
04_A_simple_example_of_learning_6_min.txt	4.8 KB
05_Three_types_of_learning_8_min.mp4	9.4 MB
05_Three_types_of_learning_8_min.srt	10.6 KB
05_Three_types_of_learning_8_min.txt	7.0 KB
/02_Lecture2/
01_Types_of_neural_network_architectures_7_min.mp4	9.2 MB
01_Types_of_neural_network_architectures_7_min.pdf	504.8 KB
01_Types_of_neural_network_architectures_7_min.pptx	409.2 KB
01_Types_of_neural_network_architectures_7_min.srt	10.1 KB
01_Types_of_neural_network_architectures_7_min.txt	6.6 KB
02_Perceptrons-_The_first_generation_of_neural_networks_8_min.mp4	9.8 MB
02_Perceptrons-_The_first_generation_of_neural_networks_8_min.srt	11.1 KB
02_Perceptrons-_The_first_generation_of_neural_networks_8_min.txt	7.3 KB
03_A_geometrical_view_of_perceptrons_6_min.mp4	7.7 MB
03_A_geometrical_view_of_perceptrons_6_min.srt	8.5 KB
03_A_geometrical_view_of_perceptrons_6_min.txt	5.5 KB
04_Why_the_learning_works_5_min.mp4	6.2 MB
04_Why_the_learning_works_5_min.srt	6.6 KB
04_Why_the_learning_works_5_min.txt	4.3 KB
05_What_perceptrons_cant_do_15_min.mp4	17.4 MB
05_What_perceptrons_cant_do_15_min.srt	18.9 KB
05_What_perceptrons_cant_do_15_min.txt	12.4 KB
/03_Lecture3/
01_Learning_the_weights_of_a_linear_neuron_12_min.mp4	14.2 MB
01_Learning_the_weights_of_a_linear_neuron_12_min.pdf	548.0 KB
01_Learning_the_weights_of_a_linear_neuron_12_min.pptx	1.2 MB
01_Learning_the_weights_of_a_linear_neuron_12_min.srt	15.4 KB
01_Learning_the_weights_of_a_linear_neuron_12_min.txt	10.1 KB
02_The_error_surface_for_a_linear_neuron_5_min.mp4	6.2 MB
02_The_error_surface_for_a_linear_neuron_5_min.srt	6.5 KB
02_The_error_surface_for_a_linear_neuron_5_min.txt	4.2 KB
03_Learning_the_weights_of_a_logistic_output_neuron_4_min.mp4	4.6 MB
03_Learning_the_weights_of_a_logistic_output_neuron_4_min.srt	4.6 KB
03_Learning_the_weights_of_a_logistic_output_neuron_4_min.txt	3.0 KB
04_The_backpropagation_algorithm_12_min.mp4	14.0 MB
04_The_backpropagation_algorithm_12_min.pdf	3.1 MB
04_The_backpropagation_algorithm_12_min.srt	15.2 KB
04_The_backpropagation_algorithm_12_min.txt	10.0 KB
05_Using_the_derivatives_computed_by_backpropagation_10_min.mp4	11.7 MB
05_Using_the_derivatives_computed_by_backpropagation_10_min.srt	13.9 KB
05_Using_the_derivatives_computed_by_backpropagation_10_min.txt	9.1 KB
/04_Lecture4/
01_Learning_to_predict_the_next_word_13_min.mp4	15.0 MB
01_Learning_to_predict_the_next_word_13_min.pdf	964.1 KB
01_Learning_to_predict_the_next_word_13_min.pptx	1.1 MB
01_Learning_to_predict_the_next_word_13_min.srt	16.9 KB
01_Learning_to_predict_the_next_word_13_min.txt	11.1 KB
02_A_brief_diversion_into_cognitive_science_4_min.mp4	5.6 MB
02_A_brief_diversion_into_cognitive_science_4_min.srt	5.9 KB
02_A_brief_diversion_into_cognitive_science_4_min.txt	3.8 KB
03_Another_diversion-_The_softmax_output_function_7_min.mp4	8.4 MB
03_Another_diversion-_The_softmax_output_function_7_min.srt	9.3 KB
03_Another_diversion-_The_softmax_output_function_7_min.txt	6.1 KB
04_Neuro-probabilistic_language_models_8_min.mp4	9.4 MB
04_Neuro-probabilistic_language_models_8_min.pdf	140.1 KB
04_Neuro-probabilistic_language_models_8_min.srt	11.0 KB
04_Neuro-probabilistic_language_models_8_min.txt	7.2 KB
05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.mp4	14.9 MB
05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.png	154.4 KB
05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.srt	18.6 KB
05_Ways_to_deal_with_the_large_number_of_possible_outputs_15_min.txt	12.0 KB
/05_Lecture5/
01_Why_object_recognition_is_difficult_5_min.mp4	5.6 MB
01_Why_object_recognition_is_difficult_5_min.pdf	1.6 MB
01_Why_object_recognition_is_difficult_5_min.pptx	1.7 MB
01_Why_object_recognition_is_difficult_5_min.srt	6.3 KB
01_Why_object_recognition_is_difficult_5_min.txt	4.1 KB
02_Achieving_viewpoint_invariance_6_min.mp4	7.2 MB
02_Achieving_viewpoint_invariance_6_min.srt	8.3 KB
02_Achieving_viewpoint_invariance_6_min.txt	5.4 KB
03_Convolutional_nets_for_digit_recognition_16_min.mp4	19.4 MB
03_Convolutional_nets_for_digit_recognition_16_min.srt	22.1 KB
03_Convolutional_nets_for_digit_recognition_16_min.txt	14.2 KB
04_Convolutional_nets_for_object_recognition_17min.mp4	24.1 MB
04_Convolutional_nets_for_object_recognition_17min.pdf	125.4 KB
04_Convolutional_nets_for_object_recognition_17min.srt	26.2 KB
04_Convolutional_nets_for_object_recognition_17min.txt	17.0 KB
04_Convolutional_nets_for_object_recognition_17min_0_.pdf	955.1 KB
/06_Lecture6/
01_Overview_of_mini-batch_gradient_descent.mp4	10.1 MB
01_Overview_of_mini-batch_gradient_descent.pdf	546.8 KB
01_Overview_of_mini-batch_gradient_descent.pptx	672.6 KB
01_Overview_of_mini-batch_gradient_descent.srt	12.2 KB
01_Overview_of_mini-batch_gradient_descent.txt	8.0 KB
02_A_bag_of_tricks_for_mini-batch_gradient_descent.mp4	15.6 MB
02_A_bag_of_tricks_for_mini-batch_gradient_descent.srt	19.2 KB
02_A_bag_of_tricks_for_mini-batch_gradient_descent.txt	12.5 KB
03_The_momentum_method.mp4	10.2 MB
03_The_momentum_method.srt	11.4 KB
03_The_momentum_method.txt	7.4 KB
04_Adaptive_learning_rates_for_each_connection.mp4	7.0 MB
04_Adaptive_learning_rates_for_each_connection.srt	7.9 KB
04_Adaptive_learning_rates_for_each_connection.txt	5.2 KB
05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.mp4	15.9 MB
05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.srt	16.1 KB
05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.txt	10.5 KB
/07_Lecture7/
01_Modeling_sequences-_A_brief_overview.mp4	21.1 MB
01_Modeling_sequences-_A_brief_overview.pdf	976.0 KB
01_Modeling_sequences-_A_brief_overview.pptx	228.0 KB
01_Modeling_sequences-_A_brief_overview.srt	23.2 KB
01_Modeling_sequences-_A_brief_overview.txt	15.1 KB
02_Training_RNNs_with_back_propagation.mp4	7.7 MB
02_Training_RNNs_with_back_propagation.srt	8.6 KB
02_Training_RNNs_with_back_propagation.txt	5.7 KB
03_A_toy_example_of_training_an_RNN.mp4	7.6 MB
03_A_toy_example_of_training_an_RNN.srt	7.7 KB
03_A_toy_example_of_training_an_RNN.txt	5.0 KB
04_Why_it_is_difficult_to_train_an_RNN.mp4	9.3 MB
04_Why_it_is_difficult_to_train_an_RNN.srt	10.0 KB
04_Why_it_is_difficult_to_train_an_RNN.txt	6.6 KB
05_Long-term_Short-term-memory.mp4	10.7 MB
05_Long-term_Short-term-memory.pdf	320.6 KB
05_Long-term_Short-term-memory.srt	11.9 KB
05_Long-term_Short-term-memory.txt	7.9 KB
/08_Lecture8/
01_A_brief_overview_of_Hessian_Free_optimization.mp4	17.0 MB
01_A_brief_overview_of_Hessian_Free_optimization.pdf	658.3 KB
01_A_brief_overview_of_Hessian_Free_optimization.pptx	568.2 KB
01_A_brief_overview_of_Hessian_Free_optimization.srt	18.4 KB
01_A_brief_overview_of_Hessian_Free_optimization.txt	11.9 KB
02_Modeling_character_strings_with_multiplicative_connections_14_mins.mp4	17.4 MB
02_Modeling_character_strings_with_multiplicative_connections_14_mins.srt	17.9 KB
02_Modeling_character_strings_with_multiplicative_connections_14_mins.txt	11.8 KB
03_Learning_to_predict_the_next_character_using_HF_12__mins.mp4	14.6 MB
03_Learning_to_predict_the_next_character_using_HF_12__mins.pdf	273.4 KB
03_Learning_to_predict_the_next_character_using_HF_12__mins.srt	16.1 KB
03_Learning_to_predict_the_next_character_using_HF_12__mins.txt	10.4 KB
04_Echo_State_Networks_9_min.mp4	11.8 MB
04_Echo_State_Networks_9_min.srt	12.3 KB
04_Echo_State_Networks_9_min.txt	8.0 KB
/09_Lecture9/
01_Overview_of_ways_to_improve_generalization_12_min.mp4	14.2 MB
01_Overview_of_ways_to_improve_generalization_12_min.pdf	719.0 KB
01_Overview_of_ways_to_improve_generalization_12_min.pptx	1.5 MB
01_Overview_of_ways_to_improve_generalization_12_min.srt	16.2 KB
01_Overview_of_ways_to_improve_generalization_12_min.txt	10.6 KB
02_Limiting_the_size_of_the_weights_6_min.mp4	7.7 MB
02_Limiting_the_size_of_the_weights_6_min.srt	8.6 KB
02_Limiting_the_size_of_the_weights_6_min.txt	5.6 KB
03_Using_noise_as_a_regularizer_7_min.mp4	8.9 MB
03_Using_noise_as_a_regularizer_7_min.srt	9.1 KB
03_Using_noise_as_a_regularizer_7_min.txt	6.0 KB
04_Introduction_to_the_full_Bayesian_approach_12_min.mp4	12.6 MB
04_Introduction_to_the_full_Bayesian_approach_12_min.srt	13.5 KB
04_Introduction_to_the_full_Bayesian_approach_12_min.txt	8.8 KB
05_The_Bayesian_interpretation_of_weight_decay_11_min.mp4	12.9 MB
05_The_Bayesian_interpretation_of_weight_decay_11_min.srt	13.3 KB
05_The_Bayesian_interpretation_of_weight_decay_11_min.txt	8.8 KB
06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.mp4	4.6 MB
06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.srt	4.5 KB
06_MacKays_quick_and_dirty_method_of_setting_weight_costs_4_min.txt	3.0 KB
/10_Lecture10/
01_Why_it_helps_to_combine_models_13_min.mp4	15.9 MB
01_Why_it_helps_to_combine_models_13_min.pdf	847.1 KB
01_Why_it_helps_to_combine_models_13_min.pptx	901.6 KB
01_Why_it_helps_to_combine_models_13_min.srt	18.1 KB
01_Why_it_helps_to_combine_models_13_min.txt	11.8 KB
02_Mixtures_of_Experts_13_min.mp4	15.7 MB
02_Mixtures_of_Experts_13_min.pdf	271.1 KB
02_Mixtures_of_Experts_13_min.srt	17.5 KB
02_Mixtures_of_Experts_13_min.txt	11.4 KB
03_The_idea_of_full_Bayesian_learning_7_min.mp4	8.8 MB
03_The_idea_of_full_Bayesian_learning_7_min.srt	10.5 KB
03_The_idea_of_full_Bayesian_learning_7_min.txt	6.9 KB
04_Making_full_Bayesian_learning_practical_7_min.mp4	8.5 MB
04_Making_full_Bayesian_learning_practical_7_min.srt	8.7 KB
04_Making_full_Bayesian_learning_practical_7_min.txt	5.7 KB
05_Dropout_9_min.mp4	10.2 MB
05_Dropout_9_min.pdf	1.7 MB
05_Dropout_9_min.srt	12.0 KB
05_Dropout_9_min.txt	7.8 KB
/11_Lecture11/
01_Hopfield_Nets_13_min.mp4	15.4 MB
01_Hopfield_Nets_13_min.pdf	711.2 KB
01_Hopfield_Nets_13_min.pptx	743.8 KB
01_Hopfield_Nets_13_min.srt	16.8 KB
01_Hopfield_Nets_13_min.txt	10.9 KB
02_Dealing_with_spurious_minima_11_min.mp4	13.4 MB
02_Dealing_with_spurious_minima_11_min.srt	15.2 KB
02_Dealing_with_spurious_minima_11_min.txt	10.0 KB
03_Hopfield_nets_with_hidden_units_10_min.mp4	11.9 MB
03_Hopfield_nets_with_hidden_units_10_min.srt	12.6 KB
03_Hopfield_nets_with_hidden_units_10_min.txt	8.3 KB
04_Using_stochastic_units_to_improv_search_11_min.mp4	12.3 MB
04_Using_stochastic_units_to_improv_search_11_min.srt	14.3 KB
04_Using_stochastic_units_to_improv_search_11_min.txt	9.3 KB
05_How_a_Boltzmann_machine_models_data_12_min.mp4	13.9 MB
05_How_a_Boltzmann_machine_models_data_12_min.srt	16.3 KB
05_How_a_Boltzmann_machine_models_data_12_min.txt	10.5 KB
/12_Lecture12/
01_Boltzmann_machine_learning_12_min.mp4	14.7 MB
01_Boltzmann_machine_learning_12_min.pdf	1.8 MB
01_Boltzmann_machine_learning_12_min.pptx	2.0 MB
01_Boltzmann_machine_learning_12_min.srt	16.4 KB
01_Boltzmann_machine_learning_12_min.txt	10.7 KB
02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.mp4	17.8 MB
02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.srt	18.6 KB
02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.txt	12.2 KB
03_Restricted_Boltzmann_Machines_11_min.mp4	13.3 MB
03_Restricted_Boltzmann_Machines_11_min.srt	13.9 KB
03_Restricted_Boltzmann_Machines_11_min.txt	9.1 KB
04_An_example_of_RBM_learning_7_mins.mp4	9.1 MB
04_An_example_of_RBM_learning_7_mins.srt	10.1 KB
04_An_example_of_RBM_learning_7_mins.txt	6.6 KB
05_RBMs_for_collaborative_filtering_8_mins.mp4	10.0 MB
05_RBMs_for_collaborative_filtering_8_mins.srt	10.9 KB
05_RBMs_for_collaborative_filtering_8_mins.txt	7.2 KB
/13_Lecture13/
01_The_ups_and_downs_of_back_propagation_10_min.mp4	12.4 MB
01_The_ups_and_downs_of_back_propagation_10_min.pdf	314.6 KB
01_The_ups_and_downs_of_back_propagation_10_min.pptx	424.8 KB
01_The_ups_and_downs_of_back_propagation_10_min.srt	14.0 KB
01_The_ups_and_downs_of_back_propagation_10_min.txt	9.1 KB
02_Belief_Nets_13_min.mp4	15.6 MB
02_Belief_Nets_13_min.srt	17.8 KB
02_Belief_Nets_13_min.txt	11.5 KB
03_Learning_sigmoid_belief_nets_12_min.mp4	14.3 MB
03_Learning_sigmoid_belief_nets_12_min.pdf	2.4 MB
03_Learning_sigmoid_belief_nets_12_min.srt	15.0 KB
03_Learning_sigmoid_belief_nets_12_min.txt	9.8 KB
04_The_wake-sleep_algorithm_13_min.mp4	16.4 MB
04_The_wake-sleep_algorithm_13_min.pdf	261.5 KB
04_The_wake-sleep_algorithm_13_min.srt	17.8 KB
04_The_wake-sleep_algorithm_13_min.txt	11.5 KB
/14_Lecture14/
01_Learning_layers_of_features_by_stacking_RBMs_17_min.mp4	21.0 MB
01_Learning_layers_of_features_by_stacking_RBMs_17_min.pdf	1.2 MB
01_Learning_layers_of_features_by_stacking_RBMs_17_min.pptx	1.3 MB
01_Learning_layers_of_features_by_stacking_RBMs_17_min.srt	23.4 KB
01_Learning_layers_of_features_by_stacking_RBMs_17_min.txt	15.6 KB
01_Learning_layers_of_features_by_stacking_RBMs_17_min_0_Self-taught_learning-_transfer_learning_from_unlabeled_data.pdf	484.9 KB
01_Learning_layers_of_features_by_stacking_RBMs_17_min_1_.pdf	513.9 KB
01_Learning_layers_of_features_by_stacking_RBMs_17_min_2_.pdf	787.8 KB
02_Discriminative_learning_for_DBNs_9_mins.mp4	11.8 MB
02_Discriminative_learning_for_DBNs_9_mins.srt	13.0 KB
02_Discriminative_learning_for_DBNs_9_mins.txt	8.7 KB
03_What_happens_during_discriminative_fine-tuning_8_mins.mp4	10.7 MB
03_What_happens_during_discriminative_fine-tuning_8_mins.srt	10.9 KB
03_What_happens_during_discriminative_fine-tuning_8_mins.txt	7.3 KB
04_Modeling_real-valued_data_with_an_RBM_10_mins.mp4	11.7 MB
04_Modeling_real-valued_data_with_an_RBM_10_mins.srt	12.4 KB
04_Modeling_real-valued_data_with_an_RBM_10_mins.txt	8.3 KB
05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.mp4	20.4 MB
05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.srt	22.2 KB
05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.txt	14.7 KB
/15_Lecture15/
01_From_PCA_to_autoencoders_5_mins.mp4	10.2 MB
01_From_PCA_to_autoencoders_5_mins.pdf	2.6 MB
01_From_PCA_to_autoencoders_5_mins.pptx	1.9 MB
01_From_PCA_to_autoencoders_5_mins.srt	10.5 KB
01_From_PCA_to_autoencoders_5_mins.txt	7.0 KB
02_Deep_auto_encoders_4_mins.mp4	5.2 MB
02_Deep_auto_encoders_4_mins.srt	5.5 KB
02_Deep_auto_encoders_4_mins.txt	3.7 KB
03_Deep_auto_encoders_for_document_retrieval_8_mins.mp4	10.7 MB
03_Deep_auto_encoders_for_document_retrieval_8_mins.srt	10.8 KB
03_Deep_auto_encoders_for_document_retrieval_8_mins.txt	7.2 KB
04_Semantic_Hashing_9_mins.mp4	10.5 MB
04_Semantic_Hashing_9_mins.pdf	641.6 KB
04_Semantic_Hashing_9_mins.srt	11.6 KB
04_Semantic_Hashing_9_mins.txt	7.8 KB
05_Learning_binary_codes_for_image_retrieval_9_mins.mp4	12.1 MB
05_Learning_binary_codes_for_image_retrieval_9_mins.pdf	759.2 KB
05_Learning_binary_codes_for_image_retrieval_9_mins.srt	13.2 KB
05_Learning_binary_codes_for_image_retrieval_9_mins.txt	8.9 KB
06_Shallow_autoencoders_for_pre-training_7_mins.mp4	8.7 MB
06_Shallow_autoencoders_for_pre-training_7_mins.srt	10.3 KB
06_Shallow_autoencoders_for_pre-training_7_mins.txt	7.0 KB
/16_Lecture16/
01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.mp4	14.5 MB
01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pdf	346.9 KB
01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pptx	344.3 KB
01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.srt	10.6 KB
01_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.txt	7.1 KB
02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.mp4	11.7 MB
02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.srt	13.7 KB
02_OPTIONAL-_Hierarchical_Coordinate_Frames_10_mins.txt	9.2 KB
03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.mp4	16.6 MB
03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.srt	19.0 KB
03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.txt	12.7 KB
04_OPTIONAL-_The_fog_of_progress_3_min.mp4	2.9 MB
04_OPTIONAL-_The_fog_of_progress_3_min.pdf	346.9 KB
04_OPTIONAL-_The_fog_of_progress_3_min.pptx	344.3 KB
04_OPTIONAL-_The_fog_of_progress_3_min.srt	3.6 KB
04_OPTIONAL-_The_fog_of_progress_3_min.txt	2.4 KB
Total files 284