"An archive is a dump without the seagulls." ―Shoe, 1990
  • U: tox2
  • D: 2022-08-15 23:01:59
  • C: Unknown
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ReScene version pyReScene 0.7 XQZT File size CRC
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594 6B074089
1,386 9E639AFE
RAR-files
packt.deep.learning.recurrent.neural.networks.with.python-xqzt.rar 650,000,000 04438785
packt.deep.learning.recurrent.neural.networks.with.python-xqzt.r00 650,000,000 2B96DFCF
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packt.deep.learning.recurrent.neural.networks.with.python-xqzt.r16 233,783,017 179F0440

Total size: 11,283,783,017
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01.01-introduction_to_ai_sciences.mkv [c6a2f1e0e93a45f1] 75,808,090 BD6A8CE7
01.02-focus_of_the_course.mkv [cd1b61229f25194b] 90,159,510 695E0D9E
02.01-human_activity_recognition.mkv [e49db03fdbf6288d] 155,709,869 97B600BC
02.02-image_captioning.mkv [abf942858d386d4c] 176,552,621 55F22F0D
02.03-machine_translation.mkv [a88bffd83c6a89e8] 149,596,646 092345DD
02.04-speech_recognition.mkv [88a813d39f151a61] 130,128,252 CCFA6BA9
02.05-stock_price_predictions.mkv [42d8d3e93f1c5383] 179,871,705 CAB01B07
02.06-when_to_model_rnn.mkv [442b8dc96e3f6f71] 317,713,740 8E562E4C
02.07-activity.mkv [65576850d4c29b2d] 42,366,054 D23CB649
03.01-introduction_to_deep_learning_module.mkv [58dad3c3aa465fa7] 24,785,598 98FAAC16
03.02-neuron_and_perception.mkv [bb142002404cea1] 224,739,936 B87AF0A3
03.03-dnn_architecture.mkv [710ac53870e2bfc0] 121,628,047 C6B745C3
03.04-feedforward_fullyconnected_mlp.mkv [45c0cb859ff627cd] 73,519,328 B1802B3A
03.05-calculating_number_of_weights_of_dnn.mkv [a7006f9c83406138] 98,955,094 1C527EE1
03.06-number_of_neurons_versus_number_of_layers.mkv [13437620e38d8edb] 104,714,577 2DD909D8
03.07-discriminative_versus_generative_learning.mkv [3ea60bff13b01d23] 108,199,127 E3439CE2
03.08-universal_approximation_theorem.mkv [5121b2081f4ed482] 159,762,613 036ACC9A
03.09-why_depth.mkv [c0e202507e8e557f] 50,795,902 5C30D572
03.10-decision_boundary_in_dnn.mkv [fc25ce3b22a126ef] 99,371,101 8BC6619B
03.11-bias_term.mkv [7aab7a76e6ca31f] 136,950,186 02881D1E
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03.13-dnn_training_parameters.mkv [1eee599a002cb1b1] 168,455,353 85DD8AA0
03.14-gradient_descent.mkv [c3f3ca973b082689] 135,602,888 E3FDCBBB
03.15-backpropagation.mkv [de4c060e1df59243] 191,383,690 DB30A6E8
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03.17-weight_initialization.mkv [f26691a9954dbc22] 230,886,717 3D34A5F4
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03.19-batch_normalization.mkv [979c43c549bb3268] 106,290,321 62A2FFF6
03.20-rprop_momentum.mkv [3935d97753a61973] 301,213,710 31AF6472
03.21-convergence_animation.mkv [f9f3b44f57cc92ef] 109,394,704 DE472D5B
03.22-dropout_earlystopping_hyperparameters.mkv [4ffbc5f4de98e868] 248,790,063 C990902B
04.01-introduction.mkv [ed274a1c62863d51] 50,923,058 8FF3B0A3
04.02-fixed_length_memory_model.mkv [9d7299e17ab9fb36] 164,438,319 6A156270
04.03-infinite_memory_architecture.mkv [a2cac7bd5663e5b9] 197,459,696 F6EEBCBE
04.04-weight_sharing.mkv [8bc3259c7e7d2fe1] 251,621,757 DFB65ED8
04.05-notations.mkv [10abab8bf62163fa] 145,621,786 5E947DE2
04.06-many-to-many_model.mkv [74018a010d9f14da] 157,826,343 08B8F7BF
04.07-many-to-one_model.mkv [f7780c5aa4e8a64b] 124,688,578 8ECD1C30
04.08-one-to-many_model.mkv [e68a925d69997716] 91,158,103 12C3FFB8
04.09-activity_many-to-one.mkv [f0860fe0e1309487] 95,904,960 87943BF9
04.10-many-to-many_different_sizes_model.mkv [2989e49e140132a] 206,561,835 72B41D64
04.11-activity_many_to_many.mkv [c03068f74220b65a] 72,027,856 4BDA8DEA
04.12-models_summary.mkv [8af054f4f82d9342] 62,299,411 D116B748
04.13-deep_rnns.mkv [35b60bddda73c9c6] 128,371,388 5F0F577E
05.01-introduction.mkv [41179bdcbf3b9710] 93,325,568 1DD8ABC0
05.02-example_setup.mkv [e451c47e19c5df25] 69,543,737 D8CF095F
05.03-equations.mkv [c4d2783e0a79b357] 120,059,333 EFE267B8
05.04-loss_function.mkv [5093d25f1978193d] 133,578,730 66555E8D
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05.06-chain_rule.mkv [6d6d2283c0416a22] 133,654,716 DD7017B4
05.07-chain_rule_in_action.mkv [5ae8f72138f9f1ca] 119,802,191 1670D1BB
05.08-backpropagation_through_time.mkv [7273499691c8f9e5] 248,321,980 01C07129
05.09-activity.mkv [df5d690e86fb0a42] 19,774,472 07E816FE
06.01-introduction_to_a_better_rnn_module.mkv [fcad90f00caa1bf7] 94,634,301 8E9F9D2D
06.02-introduction_to_vanishing_gradients_in_rnn.mkv [f6e78380360ec594] 148,621,506 30DEEBE4
06.03-gated_recurrent_unit_(gru).mkv [a498e2cc439e03e1] 185,788,137 3716A761
06.04-gated_recurrent_unit_(gru)_equations.mkv [8b8ddda3491ace3c] 81,668,161 5BB52874
06.05-long_short_term_memory_(lstm).mkv [8cb90e90cb03c6d1] 113,502,317 5398BAE0
06.06-long_short_term_memory_(lstm)_equations.mkv [a650bda25e3d5ff7] 77,976,542 FB5C7CE4
06.07-bidirectional_recurrent_neural_networks.mkv [9a95595081f96f60] 132,950,182 5B03A77D
06.08-attention_model.mkv [96b6044aa502fd43] 182,979,066 1BA41A40
06.09-attention_model_equation.mkv [76038b1e5b4e29ef] 120,249,405 C65EA136
07.01-introduction.mkv [5065891cc71dcba7] 127,370,528 2920F71F
07.02-tensorflow_text_classification_example_using_rnns.mkv [d4a6d913f926dd3] 410,736,221 688F7102
08.01-introduction.mkv [920efca05ae34d80] 163,829,467 C8EC85CE
08.02-data_mapping.mkv [fe89e3ce050876f] 239,282,868 65915110
08.03-modelling_rnn_architecture.mkv [6c86c2a25ebb47c6] 230,729,394 92077F27
08.04-modelling_rnn_model_in_tensorflow.mkv [8d6631f7a94d64af] 144,175,663 30F40E04
08.05-modelling_rnn_model_training.mkv [fe9cbe37c5d726f7] 135,331,032 27CC8265
08.06-modelling_rnn_model_text_generation.mkv [f4552f85987897d6] 221,328,721 BBF3CF9B
08.07-activity.mkv [6cd71c58168309a2] 119,140,855 5BDB7FED
09.01-problem_statement.mkv [e5e35d450e8c93a1] 55,847,627 ADF27A7F
09.02-dataset.mkv [1d3c126dd1f0fcd7] 197,947,315 C43CC9C2
09.03-data_preparation.mkv [af984970cbfbd6f4] 228,288,849 9E434E79
09.04-rnn_model_training_and_evaluation.mkv [74d99a2f7575b967] 369,086,389 EC77934F
09.05-activity.mkv [3ef58d1d8f3634b0] 74,072,977 4AB86349
10.01-further_reading_and_resources.mkv [64845562502d43d2] 218,032,008 4F1CFDF2
9781801079167_Code.zip 7,852,558 897D2E84

Total size: 11,283,775,811
RAR Recovery
Not Present
Labels UNKNOWN