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Neural_Networks_for_Machine_Learning_Geoffrey_Hinton_UofT_FULL_COURSE-[PLLssT5z_DsK_gyrQ_biidwvPYCRNGI3iv].description
2026-03-07 20:57
0
Lecture_1.1_Why_do_we_need_machine_learning_Deep_Learning_Geoffrey_Hinton_UofT-[OVwEeSsSCHE].description
2026-03-07 20:57
1.1K
Lecture_1.1_Why_do_we_need_machine_learning_Deep_Learning_Geoffrey_Hinton_UofT-[OVwEeSsSCHE].webp
2026-03-07 20:57
19K
Lecture_1.1_Why_do_we_need_machine_learning_Deep_Learning_Geoffrey_Hinton_UofT-[OVwEeSsSCHE].mkv
2026-03-07 20:57
15M
Lecture_1.2_What_are_neural_networks_Deep_Learning_Geoffrey_Hinton_UofT-[jNBYZbDWyQk].description
2026-03-07 20:57
1.1K
Lecture_1.2_What_are_neural_networks_Deep_Learning_Geoffrey_Hinton_UofT-[jNBYZbDWyQk].webp
2026-03-07 20:57
15K
Lecture_1.2_What_are_neural_networks_Deep_Learning_Geoffrey_Hinton_UofT-[jNBYZbDWyQk].mkv
2026-03-07 20:57
11M
Lecture_1.3_Some_simple_models_of_neurons_Deep_Learning_Geoffrey_Hinton_UofT-[VA9niXgGOsQ].description
2026-03-07 20:58
1.1K
Lecture_1.3_Some_simple_models_of_neurons_Deep_Learning_Geoffrey_Hinton_UofT-[VA9niXgGOsQ].webp
2026-03-07 20:58
16K
Lecture_1.3_Some_simple_models_of_neurons_Deep_Learning_Geoffrey_Hinton_UofT-[VA9niXgGOsQ].mkv
2026-03-07 20:58
9.3M
Lecture_1.4_A_simple_example_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[mnTJezQOIDU].description
2026-03-07 20:58
1.1K
Lecture_1.4_A_simple_example_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[mnTJezQOIDU].webp
2026-03-07 20:58
14K
Lecture_1.4_A_simple_example_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[mnTJezQOIDU].mkv
2026-03-07 20:58
7.1M
Lecture_1.5_Three_types_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[nrkpEx7tA2Y].description
2026-03-07 20:58
1.1K
Lecture_1.5_Three_types_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[nrkpEx7tA2Y].webp
2026-03-07 20:58
23K
Lecture_1.5_Three_types_of_learning_Deep_Learning_Geoffrey_Hinton_UofT-[nrkpEx7tA2Y].mkv
2026-03-07 20:58
12M
Lecture_2.1_Types_of_neural_network_architectures_Deep_Learning_Geoffrey_Hinton_UofT-[6cHupvcxA38].description
2026-03-07 20:58
1.1K
Lecture_2.1_Types_of_neural_network_architectures_Deep_Learning_Geoffrey_Hinton_UofT-[6cHupvcxA38].webp
2026-03-07 20:58
18K
Lecture_2.1_Types_of_neural_network_architectures_Deep_Learning_Geoffrey_Hinton_UofT-[6cHupvcxA38].mkv
2026-03-07 20:58
12M
Lecture_2.2_Perceptrons_first_generation_neural_networks_Deep_Learning_Hinton_UofT-[5tHN6Y70d5Y].description
2026-03-07 20:58
1.1K
Lecture_2.2_Perceptrons_first_generation_neural_networks_Deep_Learning_Hinton_UofT-[5tHN6Y70d5Y].webp
2026-03-07 20:58
26K
Lecture_2.2_Perceptrons_first_generation_neural_networks_Deep_Learning_Hinton_UofT-[5tHN6Y70d5Y].mkv
2026-03-07 20:58
12M
Lecture_2.3_A_geometrical_view_of_perceptrons_Deep_Learning_Geoffrey_Hinton_UofT-[TNhgCkYDc8M].description
2026-03-07 20:58
1.1K
Lecture_2.3_A_geometrical_view_of_perceptrons_Deep_Learning_Geoffrey_Hinton_UofT-[TNhgCkYDc8M].webp
2026-03-07 20:58
16K
Lecture_2.3_A_geometrical_view_of_perceptrons_Deep_Learning_Geoffrey_Hinton_UofT-[TNhgCkYDc8M].mkv
2026-03-07 20:58
9.1M
Lecture_2.4_Why_the_learning_works_Deep_Learning_Geoffrey_Hinton_UofT-[92hto4KwlGI].description
2026-03-07 20:58
1.1K
Lecture_2.4_Why_the_learning_works_Deep_Learning_Geoffrey_Hinton_UofT-[92hto4KwlGI].webp
2026-03-07 20:58
13K
Lecture_2.4_Why_the_learning_works_Deep_Learning_Geoffrey_Hinton_UofT-[92hto4KwlGI].mkv
2026-03-07 20:58
5.0M
Lecture_2.5_What_perceptrons_cant_do_Deep_Learning_Geoffrey_Hinton_UofT-[16qJwiH-FdE].description
2026-03-07 20:58
1.1K
Lecture_2.5_What_perceptrons_cant_do_Deep_Learning_Geoffrey_Hinton_UofT-[16qJwiH-FdE].webp
2026-03-07 20:58
20K
Lecture_2.5_What_perceptrons_cant_do_Deep_Learning_Geoffrey_Hinton_UofT-[16qJwiH-FdE].mkv
2026-03-07 20:58
22M
Lecture_3.1_Learning_the_weights_of_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[6gZjRI_gnGc].description
2026-03-07 20:58
1.1K
Lecture_3.1_Learning_the_weights_of_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[6gZjRI_gnGc].webp
2026-03-07 20:58
34K
Lecture_3.1_Learning_the_weights_of_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[6gZjRI_gnGc].mkv
2026-03-07 20:58
17M
Lecture_3.2_The_error_surface_for_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[tafPPLVuB2s].description
2026-03-07 20:58
1.1K
Lecture_3.2_The_error_surface_for_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[tafPPLVuB2s].webp
2026-03-07 20:58
17K
Lecture_3.2_The_error_surface_for_a_linear_neuron_Deep_Learning_Geoffrey_Hinton_UofT-[tafPPLVuB2s].mkv
2026-03-07 20:58
7.9M
Lecture_3.3_Learning_weights_of_logistic_output_neuron_Deep_Learning_Hinton_UofT-[MVT-bHFqZ9o].description
2026-03-07 20:58
1.1K
Lecture_3.3_Learning_weights_of_logistic_output_neuron_Deep_Learning_Hinton_UofT-[MVT-bHFqZ9o].webp
2026-03-07 20:58
17K
Lecture_3.3_Learning_weights_of_logistic_output_neuron_Deep_Learning_Hinton_UofT-[MVT-bHFqZ9o].mkv
2026-03-07 20:58
5.1M
Lecture_3.4_The_backpropagation_algorithm_Deep_Learning_Geoffrey_Hinton_UofT-[VCT1N0EsGj0].description
2026-03-07 20:58
1.1K
Lecture_3.4_The_backpropagation_algorithm_Deep_Learning_Geoffrey_Hinton_UofT-[VCT1N0EsGj0].webp
2026-03-07 20:58
13K
Lecture_3.4_The_backpropagation_algorithm_Deep_Learning_Geoffrey_Hinton_UofT-[VCT1N0EsGj0].mkv
2026-03-07 20:58
17M
Lecture_3.5_Using_the_derivatives_from_backpropagation_Deep_Learning_Hinton_UofT-[7UknKXkcbZA].description
2026-03-07 20:58
1.1K
Lecture_3.5_Using_the_derivatives_from_backpropagation_Deep_Learning_Hinton_UofT-[7UknKXkcbZA].webp
2026-03-07 20:59
36K
Lecture_3.5_Using_the_derivatives_from_backpropagation_Deep_Learning_Hinton_UofT-[7UknKXkcbZA].mkv
2026-03-07 20:59
12M
Lecture_4.1_Learning_to_predict_the_next_word_Deep_Learning_Geoffrey_Hinton_UofT-[_LzxJ1LbSl4].description
2026-03-07 20:59
1.1K
Lecture_4.1_Learning_to_predict_the_next_word_Deep_Learning_Geoffrey_Hinton_UofT-[_LzxJ1LbSl4].webp
2026-03-07 20:59
16K
Lecture_4.1_Learning_to_predict_the_next_word_Deep_Learning_Geoffrey_Hinton_UofT-[_LzxJ1LbSl4].mkv
2026-03-07 20:59
13M
Lecture_4.2_A_brief_diversion_into_cognitive_science_Deep_Learning_Geoffrey_Hinton_UofT-[QJw5CN_0zxU].description
2026-03-07 20:59
1.1K
Lecture_4.2_A_brief_diversion_into_cognitive_science_Deep_Learning_Geoffrey_Hinton_UofT-[QJw5CN_0zxU].webp
2026-03-07 20:59
17K
Lecture_4.2_A_brief_diversion_into_cognitive_science_Deep_Learning_Geoffrey_Hinton_UofT-[QJw5CN_0zxU].mkv
2026-03-07 20:59
7.0M
Lecture_4.3_The_softmax_output_function_Deep_Learning_Geoffrey_Hinton_UofT-[PHP8beSz5o4].description
2026-03-07 20:59
1.1K
Lecture_4.3_The_softmax_output_function_Deep_Learning_Geoffrey_Hinton_UofT-[PHP8beSz5o4].webp
2026-03-07 20:59
17K
Lecture_4.3_The_softmax_output_function_Deep_Learning_Geoffrey_Hinton_UofT-[PHP8beSz5o4].mkv
2026-03-07 20:59
9.3M
Lecture_4.4_Neuro_probabilistic_language_models_Deep_Learning_Geoffrey_Hinton_UofT-[wqUgMFMnlzI].description
2026-03-07 20:59
1.1K
Lecture_4.4_Neuro_probabilistic_language_models_Deep_Learning_Geoffrey_Hinton_UofT-[wqUgMFMnlzI].webp
2026-03-07 20:59
17K
Lecture_4.4_Neuro_probabilistic_language_models_Deep_Learning_Geoffrey_Hinton_UofT-[wqUgMFMnlzI].mkv
2026-03-07 20:59
8.1M
Lecture_4.5_Dealing_with_many_possible_outputs_Deep_Learning_Geoffrey_Hinton_UofT-[qgjzwJwKiBc].description
2026-03-07 20:59
1.1K
Lecture_4.5_Dealing_with_many_possible_outputs_Deep_Learning_Geoffrey_Hinton_UofT-[qgjzwJwKiBc].webp
2026-03-07 20:59
47K
Lecture_4.5_Dealing_with_many_possible_outputs_Deep_Learning_Geoffrey_Hinton_UofT-[qgjzwJwKiBc].mkv
2026-03-07 20:59
19M
Lecture_5.1_Why_object_recognition_is_difficult_Deep_Learning_Geoffrey_Hinton_UofT-[XSmoVWhM8G4].description
2026-03-07 20:59
1.1K
Lecture_5.1_Why_object_recognition_is_difficult_Deep_Learning_Geoffrey_Hinton_UofT-[XSmoVWhM8G4].webp
2026-03-07 20:59
13K
Lecture_5.1_Why_object_recognition_is_difficult_Deep_Learning_Geoffrey_Hinton_UofT-[XSmoVWhM8G4].mkv
2026-03-07 20:59
6.8M
Lecture_5.2_Achieving_viewpoint_invariance_Deep_Learning_Geoffrey_Hinton_UofT-[ARzsyifxGEI].description
2026-03-07 20:59
1.1K
Lecture_5.2_Achieving_viewpoint_invariance_Deep_Learning_Geoffrey_Hinton_UofT-[ARzsyifxGEI].webp
2026-03-07 20:59
15K
Lecture_5.2_Achieving_viewpoint_invariance_Deep_Learning_Geoffrey_Hinton_UofT-[ARzsyifxGEI].mkv
2026-03-07 20:59
9.0M
Lecture_5.3_Convolutional_nets_for_digit_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[w7qvEv1EKZ0].description
2026-03-07 20:59
1.1K
Lecture_5.3_Convolutional_nets_for_digit_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[w7qvEv1EKZ0].webp
2026-03-07 20:59
39K
Lecture_5.3_Convolutional_nets_for_digit_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[w7qvEv1EKZ0].mkv
2026-03-07 20:59
17M
Lecture_5.4_Convolutional_nets_for_object_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[924oc7aLH-g].description
2026-03-07 20:59
1.1K
Lecture_5.4_Convolutional_nets_for_object_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[924oc7aLH-g].webp
2026-03-07 20:59
15K
Lecture_5.4_Convolutional_nets_for_object_recognition_Deep_Learning_Geoffrey_Hinton_UofT-[924oc7aLH-g].mkv
2026-03-07 20:59
26M
Lecture_6.1_Overview_of_mini_batch_gradient_descent_Deep_Learning_Geoffrey_Hinton_UofT-[EANflep-cog].description
2026-03-07 20:59
1.1K
Lecture_6.1_Overview_of_mini_batch_gradient_descent_Deep_Learning_Geoffrey_Hinton_UofT-[EANflep-cog].webp
2026-03-07 20:59
25K
Lecture_6.1_Overview_of_mini_batch_gradient_descent_Deep_Learning_Geoffrey_Hinton_UofT-[EANflep-cog].mkv
2026-03-07 20:59
12M
Lecture_6.2_A_bag_of_tricks_for_mini_batch_gradient_descent_Deep_Learning_Hinton_UofT-[iNucJB-0vYs].description
2026-03-07 20:59
1.1K
Lecture_6.2_A_bag_of_tricks_for_mini_batch_gradient_descent_Deep_Learning_Hinton_UofT-[iNucJB-0vYs].webp
2026-03-07 21:00
24K
Lecture_6.2_A_bag_of_tricks_for_mini_batch_gradient_descent_Deep_Learning_Hinton_UofT-[iNucJB-0vYs].mkv
2026-03-07 21:00
19M
Lecture_6.3_The_momentum_method_Neural_Deep_Learning_Geoffrey_Hinton_UofT-[z2rTn8Evav8].description
2026-03-07 21:00
1.1K
Lecture_6.3_The_momentum_method_Neural_Deep_Learning_Geoffrey_Hinton_UofT-[z2rTn8Evav8].webp
2026-03-07 21:00
13K
Lecture_6.3_The_momentum_method_Neural_Deep_Learning_Geoffrey_Hinton_UofT-[z2rTn8Evav8].mp4
2026-03-07 21:00
11M
Lecture_6.4_Adaptive_learning_rates_for_each_connection_Deep_Learning_Hinton_UofT-[Gkdq3dHYQtk].description
2026-03-07 21:00
1.1K
Lecture_6.4_Adaptive_learning_rates_for_each_connection_Deep_Learning_Hinton_UofT-[Gkdq3dHYQtk].webp
2026-03-07 21:00
15K
Lecture_6.4_Adaptive_learning_rates_for_each_connection_Deep_Learning_Hinton_UofT-[Gkdq3dHYQtk].mkv
2026-03-07 21:00
8.6M
Lecture_6_5_Rmsprop_normalize_the_gradient_Deep_Learning_Geoffrey_Hinton_UofT-[XhZahXzEuNo].description
2026-03-07 21:00
1.1K
Lecture_6_5_Rmsprop_normalize_the_gradient_Deep_Learning_Geoffrey_Hinton_UofT-[XhZahXzEuNo].webp
2026-03-07 21:00
17K
Lecture_6_5_Rmsprop_normalize_the_gradient_Deep_Learning_Geoffrey_Hinton_UofT-[XhZahXzEuNo].mkv
2026-03-07 21:00
12M
Lecture_7.1_Modeling_sequences_a_brief_overview_Deep_Learning_Geoffrey_Hinton_UofT-[V0-2pV8vQ84].description
2026-03-07 21:00
1.1K
Lecture_7.1_Modeling_sequences_a_brief_overview_Deep_Learning_Geoffrey_Hinton_UofT-[V0-2pV8vQ84].webp
2026-03-07 21:00
17K
Lecture_7.1_Modeling_sequences_a_brief_overview_Deep_Learning_Geoffrey_Hinton_UofT-[V0-2pV8vQ84].mkv
2026-03-07 21:00
27M
Lecture_7.2_Training_RNNs_with_back_propagation_Deep_Learning_Geoffrey_Hinton_UofT-[4gOdNtVNZtk].description
2026-03-07 21:00
1.1K
Lecture_7.2_Training_RNNs_with_back_propagation_Deep_Learning_Geoffrey_Hinton_UofT-[4gOdNtVNZtk].webp
2026-03-07 21:00
20K
Lecture_7.2_Training_RNNs_with_back_propagation_Deep_Learning_Geoffrey_Hinton_UofT-[4gOdNtVNZtk].mkv
2026-03-07 21:00
9.1M
Lecture_7.3_A_toy_example_of_training_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[sGXOyI5I_Fw].description
2026-03-07 21:00
1.1K
Lecture_7.3_A_toy_example_of_training_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[sGXOyI5I_Fw].webp
2026-03-07 21:00
33K
Lecture_7.3_A_toy_example_of_training_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[sGXOyI5I_Fw].mp4
2026-03-07 21:00
7.1M
Lecture_7.4_Why_it_is_difficult_to_train_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[WCngMib2mb4].description
2026-03-07 21:00
1.1K
Lecture_7.4_Why_it_is_difficult_to_train_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[WCngMib2mb4].webp
2026-03-07 21:00
16K
Lecture_7.4_Why_it_is_difficult_to_train_an_RNN_Deep_Learning_Geoffrey_Hinton_UofT-[WCngMib2mb4].mp4
2026-03-07 21:00
8.8M
Lecture_7.5_Long_term_Short_term_memory_Deep_Learning_Geoffrey_Hinton_UofT-[OtFAECd_IXQ].description
2026-03-07 21:00
1.1K
Lecture_7.5_Long_term_Short_term_memory_Deep_Learning_Geoffrey_Hinton_UofT-[OtFAECd_IXQ].webp
2026-03-07 21:00
24K
Lecture_7.5_Long_term_Short_term_memory_Deep_Learning_Geoffrey_Hinton_UofT-[OtFAECd_IXQ].mkv
2026-03-07 21:00
9.0M
Lecture_8.1_A_brief_overview_of_Hessian_free_optimization_Deep_Learning_Hinton_UofT-[XxQ4hgcKDlY].description
2026-03-07 21:00
1.1K
Lecture_8.1_A_brief_overview_of_Hessian_free_optimization_Deep_Learning_Hinton_UofT-[XxQ4hgcKDlY].webp
2026-03-07 21:00
54K
Lecture_8.1_A_brief_overview_of_Hessian_free_optimization_Deep_Learning_Hinton_UofT-[XxQ4hgcKDlY].mp4
2026-03-07 21:00
19M
Lecture_8.2_Modeling_character_strings_Deep_Learning_Geoffrey_Hinton_UofT-[GhGBrxStXuA].description
2026-03-07 21:00
1.1K
Lecture_8.2_Modeling_character_strings_Deep_Learning_Geoffrey_Hinton_UofT-[GhGBrxStXuA].webp
2026-03-07 21:01
14K
Lecture_8.2_Modeling_character_strings_Deep_Learning_Geoffrey_Hinton_UofT-[GhGBrxStXuA].mp4
2026-03-07 21:01
16M
Lecture_8.3_Predicting_the_next_character_using_HF_Deep_Learning_Hinton_UofT-[74Hj4By5kjg].description
2026-03-07 21:01
1.1K
Lecture_8.3_Predicting_the_next_character_using_HF_Deep_Learning_Hinton_UofT-[74Hj4By5kjg].webp
2026-03-07 21:01
37K
Lecture_8.3_Predicting_the_next_character_using_HF_Deep_Learning_Hinton_UofT-[74Hj4By5kjg].mp4
2026-03-07 21:01
14M
Lecture_8.4_Echo_State_Networks_Deep_Learning_Geoffrey_Hinton_UofT-[prXjoD9rEHo].description
2026-03-07 21:01
1.1K
Lecture_8.4_Echo_State_Networks_Deep_Learning_Geoffrey_Hinton_UofT-[prXjoD9rEHo].webp
2026-03-07 21:01
56K
Lecture_8.4_Echo_State_Networks_Deep_Learning_Geoffrey_Hinton_UofT-[prXjoD9rEHo].mp4
2026-03-07 21:01
12M
Lecture_9.1_Overview_of_ways_to_improve_generalization_Deep_Learning_Hinton_UofT-[MbpaeKYMXVk].description
2026-03-07 21:01
1.1K
Lecture_9.1_Overview_of_ways_to_improve_generalization_Deep_Learning_Hinton_UofT-[MbpaeKYMXVk].webp
2026-03-07 21:01
45K
Lecture_9.1_Overview_of_ways_to_improve_generalization_Deep_Learning_Hinton_UofT-[MbpaeKYMXVk].mp4
2026-03-07 21:01
13M
Lecture_9.2_Limiting_the_size_of_the_weights_Deep_Learning_Geoffrey_Hinton_UofT-[Ukb5yqeF1po].description
2026-03-07 21:01
1.1K
Lecture_9.2_Limiting_the_size_of_the_weights_Deep_Learning_Geoffrey_Hinton_UofT-[Ukb5yqeF1po].webp
2026-03-07 21:01
17K
Lecture_9.2_Limiting_the_size_of_the_weights_Deep_Learning_Geoffrey_Hinton_UofT-[Ukb5yqeF1po].mp4
2026-03-07 21:01
8.5M
Lecture_9.3_Using_noise_as_a_regularizer_Deep_Learning_Geoffrey_Hinton_UofT-[pu2d_AFuwdQ].description
2026-03-07 21:01
1.1K
Lecture_9.3_Using_noise_as_a_regularizer_Deep_Learning_Geoffrey_Hinton_UofT-[pu2d_AFuwdQ].webp
2026-03-07 21:01
14K
Lecture_9.3_Using_noise_as_a_regularizer_Deep_Learning_Geoffrey_Hinton_UofT-[pu2d_AFuwdQ].mp4
2026-03-07 21:01
8.2M
Lecture_9.4_Introduction_to_the_full_Bayesian_approach_Deep_Learning_Hinton_UofT-[jN5uYO9qllc].description
2026-03-07 21:01
1.1K
Lecture_9.4_Introduction_to_the_full_Bayesian_approach_Deep_Learning_Hinton_UofT-[jN5uYO9qllc].webp
2026-03-07 21:01
18K
Lecture_9.4_Introduction_to_the_full_Bayesian_approach_Deep_Learning_Hinton_UofT-[jN5uYO9qllc].mp4
2026-03-07 21:01
14M
Lecture_9.5_The_Bayesian_interpretation_of_weight_decay_Deep_Learning_Hinton_UofT-[PD2DmW9E_Q0].description
2026-03-07 21:01
1.1K
Lecture_9.5_The_Bayesian_interpretation_of_weight_decay_Deep_Learning_Hinton_UofT-[PD2DmW9E_Q0].webp
2026-03-07 21:01
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Lecture_9.5_The_Bayesian_interpretation_of_weight_decay_Deep_Learning_Hinton_UofT-[PD2DmW9E_Q0].mp4
2026-03-07 21:01
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Lecture_9.6_MacKay_s_quick_and_dirty_method_Deep_Learning_Geoffrey_Hinton_UofT-[CzrAOBC8ts0].description
2026-03-07 21:01
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Lecture_9.6_MacKay_s_quick_and_dirty_method_Deep_Learning_Geoffrey_Hinton_UofT-[CzrAOBC8ts0].webp
2026-03-07 21:01
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Lecture_9.6_MacKay_s_quick_and_dirty_method_Deep_Learning_Geoffrey_Hinton_UofT-[CzrAOBC8ts0].mp4
2026-03-07 21:01
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Lecture_10.1_Why_it_helps_to_combine_models_Deep_Learning_Geoffrey_Hinton_UofT-[kZ7JJOMt5Kw].description
2026-03-07 21:01
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Lecture_10.1_Why_it_helps_to_combine_models_Deep_Learning_Geoffrey_Hinton_UofT-[kZ7JJOMt5Kw].webp
2026-03-07 21:01
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Lecture_10.1_Why_it_helps_to_combine_models_Deep_Learning_Geoffrey_Hinton_UofT-[kZ7JJOMt5Kw].mp4
2026-03-07 21:01
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Lecture_10.2_Mixtures_of_Experts_Deep_Learning_Geoffrey_Hinton_UofT-[FxrTtRvYQWk].description
2026-03-07 21:01
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Lecture_10.2_Mixtures_of_Experts_Deep_Learning_Geoffrey_Hinton_UofT-[FxrTtRvYQWk].webp
2026-03-07 21:01
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Lecture_10.3_The_idea_of_full_Bayesian_learning_Deep_Learning_Geoffrey_Hinton_UofT-[1A6Md5ZYyW0].description
2026-03-07 21:02
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2026-03-07 21:02
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Lecture_10.3_The_idea_of_full_Bayesian_learning_Deep_Learning_Geoffrey_Hinton_UofT-[1A6Md5ZYyW0].mp4
2026-03-07 21:02
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Lecture_10.4_Making_full_Bayesian_learning_practical_Deep_Learning_Geoffrey_Hinton_UofT-[RsC9xfHYYH0].description
2026-03-07 21:02
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2026-03-07 21:02
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Lecture_10.4_Making_full_Bayesian_learning_practical_Deep_Learning_Geoffrey_Hinton_UofT-[RsC9xfHYYH0].mp4
2026-03-07 21:02
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Lecture_10.5_Dropout_Deep_Learning_Geoffrey_Hinton_Toronto-[iCbVPfk_5CQ].description
2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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Lecture_11.2_Dealing_with_spurious_minima_Deep_Learning_Geoffrey_Hinton_UofT-[HJfhdksIqUE].description
2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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2026-03-07 21:02
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Lecture_11.4_Using_stochastic_units_to_improve_search_Deep_Learning_Geoffrey_Hinton_UofT-[4vBqFO9bPeg].description
2026-03-07 21:02
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2026-03-07 21:02
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Lecture_11.5_How_a_Boltzmann_machine_models_data_Deep_Learning_Geoffrey_Hinton_UofT-[kytxEr0KK7Q].description
2026-03-07 21:02
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2026-03-07 21:02
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Lecture_12.2_More_efficient_ways_to_get_the_statistics_Deep_Learning_Hinton_UofT-[CkZ9HA6KUnA].description
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2026-03-07 21:02
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Lecture_12.3_Restricted_Boltzmann_Machines_Deep_Learning_Geoffrey_Hinton_UofT-[EZOpZzUKl48].description
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2026-03-07 21:03
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2026-03-07 21:03
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Lecture_12.4_An_example_of_RBM_learning_Deep_Learning_Geoffrey_Hinton_UofT-[iHaS6O1eox4].description
2026-03-07 21:03
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Lecture_12.4_An_example_of_RBM_learning_Deep_Learning_Geoffrey_Hinton_UofT-[iHaS6O1eox4].webp
2026-03-07 21:03
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Lecture_12.4_An_example_of_RBM_learning_Deep_Learning_Geoffrey_Hinton_UofT-[iHaS6O1eox4].mp4
2026-03-07 21:03
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Lecture_12.5_RBMs_for_collaborative_filtering_Deep_Learning_Geoffrey_Hinton_UofT-[on5lto0rG48].description
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2026-03-07 21:03
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Lecture_12.5_RBMs_for_collaborative_filtering_Deep_Learning_Geoffrey_Hinton_UofT-[on5lto0rG48].mp4
2026-03-07 21:03
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Lecture_13.1_The_ups_and_downs_of_backpropagation_Deep_Learning_Geoffrey_Hinton_UofT-[lDFY8vQe6-g].description
2026-03-07 21:03
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Lecture_13.1_The_ups_and_downs_of_backpropagation_Deep_Learning_Geoffrey_Hinton_UofT-[lDFY8vQe6-g].webp
2026-03-07 21:03
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Lecture_13.1_The_ups_and_downs_of_backpropagation_Deep_Learning_Geoffrey_Hinton_UofT-[lDFY8vQe6-g].mp4
2026-03-07 21:03
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Lecture_13.2_Belief_Nets_Deep_Learning_Geoffrey_Hinton_UofT-[1CgojqlHrcE].description
2026-03-07 21:03
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Lecture_13.2_Belief_Nets_Deep_Learning_Geoffrey_Hinton_UofT-[1CgojqlHrcE].webp
2026-03-07 21:03
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