文件名称：Hinton - Neural Network for Machine Learning Lecture Notes 课件
文件大小：31.7MB
文件格式：RAR
更新时间：2019-09-12 18:38:39
machine learning
Hinton - Toronto University - Neural Network for Machine Learning Lecture Notes 课件 有 ppt ＆ pdf 两个版本
【文件预览】：
neuralnets-2012-Lecture Notes-PDF
----ppt_version()
--------Lecture_10_Why_it_helps_to_combine_models_13_min.pptx(880KB)
--------Lecture_14_Learning_layers_of_features_by_stacking_RBMs_17_min.pptx(1.2MB)
--------Lecture_09_Overview_of_ways_to_improve_generalization_12_min.pptx(1.48MB)
--------Lecture_16_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pptx(336KB)
--------Lecture_02_Types_of_neural_network_architectures_7_min.pptx(400KB)
--------Lecture_12_Boltzmann_machine_learning_12_min.pptx(1.88MB)
--------Lecture_04_Learning_to_predict_the_next_word_13_min.pptx(1.09MB)
--------Lecture_15_From_PCA_to_autoencoders_5_mins.pptx(1.8MB)
--------Lecture_08_A_brief_overview_of_Hessian_Free_optimization.pptx(555KB)
--------Lecture_06_Overview_of_mini-batch_gradient_descent.pptx(657KB)
--------Lecture_01_Why_do_we_need_machine_learning_13_min.pptx(3.62MB)
--------Lecture_11_Hopfield_Nets_13_min.pptx(726KB)
--------Lecture_05_Why_object_recognition_is_difficult_5_min.pptx(1.65MB)
--------Lecture_03_Learning_the_weights_of_a_linear_neuron_12_min.pptx(1.14MB)
--------Lecture_07_Modeling_sequences-_A_brief_overview.pptx(223KB)
--------Lecture_13_The_ups_and_downs_of_back_propagation_10_min.pptx(415KB)
----pdf_version()
--------Lecture_03_Learning_the_weights_of_a_linear_neuron_12_min.pdf(535KB)
--------Lecture_14_Learning_layers_of_features_by_stacking_RBMs_17_min.pdf(1.11MB)
--------Lecture_11_Hopfield_Nets_13_min.pdf(695KB)
--------Lecture_09_Overview_of_ways_to_improve_generalization_12_min.pdf(702KB)
--------Lecture_15_From_PCA_to_autoencoders_5_mins.pdf(2.49MB)
--------Lecture_01_Why_do_we_need_machine_learning_13_min.pdf(3.88MB)
--------Lecture_16_OPTIONAL-_Learning_a_joint_model_of_images_and_captions_10_min.pdf(339KB)
--------Lecture_05_Why_object_recognition_is_difficult_5_min.pdf(1.56MB)
--------Lecture_07_Modeling_sequences-_A_brief_overview.pdf(953KB)
--------Lecture_04_Learning_to_predict_the_next_word_13_min.pdf(941KB)
--------Lecture_13_The_ups_and_downs_of_back_propagation_10_min.pdf(307KB)
--------Lecture_02_Types_of_neural_network_architectures_7_min.pdf(493KB)
--------Lecture_08_A_brief_overview_of_Hessian_Free_optimization.pdf(643KB)
--------Lecture_06_Overview_of_mini-batch_gradient_descent.pdf(534KB)
--------Lecture_10_Why_it_helps_to_combine_models_13_min.pdf(827KB)
--------Lecture_12_Boltzmann_machine_learning_12_min.pdf(1.74MB)