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- 收录时间:2020-02-28 文档个数:19 文档大小:2.4 GB 最近下载:2025-02-01 人气:4923 磁力链接
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- 15. Introduction to Subnetting/1. Introduction to Subnetting.mp4 60.7 MB
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- 5.6 - Switches and VLANs.mov 80.4 MB
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- 02 Understanding the Concepts/005 Basic Concepts - Part 2.mp4 80.1 MB
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- 02 Understanding the Concepts/007 Diving Deeper - Part 1.mp4 39.1 MB
- 01 Introduction/001 Introduction.mp4 13.8 MB
- 02 Understanding the Concepts/003 Understanding Neural Networks.mp4 12.7 MB
- 02 Understanding the Concepts/009 Conclusion.mp4 6.5 MB
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- 05_Lecture5/04_Convolutional_nets_for_object_recognition_17min.mp4 24.1 MB
- 07_Lecture7/01_Modeling_sequences-_A_brief_overview.mp4 21.1 MB
- 14_Lecture14/01_Learning_layers_of_features_by_stacking_RBMs_17_min.mp4 21.0 MB
- 14_Lecture14/05_OPTIONAL_VIDEO-_RBMs_are_infinite_sigmoid_belief_nets_17_mins.mp4 20.4 MB
- 05_Lecture5/03_Convolutional_nets_for_digit_recognition_16_min.mp4 19.4 MB
- 12_Lecture12/02_OPTIONAL_VIDEO-_More_efficient_ways_to_get_the_statistics_15_mins.mp4 17.8 MB
- 02_Lecture2/05_What_perceptrons_cant_do_15_min.mp4 17.4 MB
- 08_Lecture8/02_Modeling_character_strings_with_multiplicative_connections_14_mins.mp4 17.4 MB
- 08_Lecture8/01_A_brief_overview_of_Hessian_Free_optimization.mp4 17.0 MB
- 16_Lecture16/03_OPTIONAL-_Bayesian_optimization_of_hyper-parameters_13_min.mp4 16.6 MB
- 13_Lecture13/04_The_wake-sleep_algorithm_13_min.mp4 16.4 MB
- 10_Lecture10/01_Why_it_helps_to_combine_models_13_min.mp4 15.9 MB
- 06_Lecture6/05_Rmsprop-_Divide_the_gradient_by_a_running_average_of_its_recent_magnitude.mp4 15.9 MB
- 01_Lecture1/01_Why_do_we_need_machine_learning_13_min.mp4 15.8 MB
- 10_Lecture10/02_Mixtures_of_Experts_13_min.mp4 15.7 MB
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- 13_Lecture13/02_Belief_Nets_13_min.mp4 15.6 MB
- 11_Lecture11/01_Hopfield_Nets_13_min.mp4 15.4 MB
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- 0701 Modeling sequences_ A brief overview.mp4 21.1 MB
- 1401 Learning layers of features by stacking RBMs.mp4 21.0 MB
- 1405 OPTIONAL VIDEO_ RBMs are infinite sigmoid belief nets.mp4 20.4 MB
- 0503 Convolutional nets for digit recognition.mp4 19.4 MB
- 1202 OPTIONAL VIDEO_ More efficient ways to get the statistics.mp4 17.8 MB
- 0205 What perceptrons can_t do.mp4 17.4 MB
- 0802 Modeling character strings with multiplicative connections.mp4 17.4 MB
- 0801 A brief overview of Hessian Free optimization.mp4 17.0 MB
- 1603 OPTIONAL_ Bayesian optimization of hyper-parameters.mp4 16.6 MB
- 1304 The wake-sleep algorithm.mp4 16.4 MB
- 1001 Why it helps to combine models.mp4 15.9 MB
- 0605 Rmsprop_ Divide the gradient by a running average of its recent magnitude.mp4 15.9 MB
- 0101 Why do we need machine learning_.mp4 15.8 MB
- 1002 Mixtures of Experts.mp4 15.7 MB
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- 1302 Belief Nets.mp4 15.6 MB
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- 003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4 201.1 MB
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