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  • U: Anonymous
  • D: 2022-03-04 02:03:34
  • C: Unknown

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ReScene version pyReScene Auto 0.7 XQZT File size CRC
Download
44,836
Stored files
545 874B7BDF
30,621 B30206EF
852 B379520C
RAR-files
packt.hands-on.keras.for.machine.learning.engineers-xqzt.rar 600,000,000 8DEC80E9
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r00 600,000,000 0DC915CE
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r01 600,000,000 70EABBA7
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r02 600,000,000 031A33C4
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r03 600,000,000 A1906331
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r04 600,000,000 785E833C
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r05 600,000,000 4193C1D9
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r06 600,000,000 24EAF47E
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r07 600,000,000 E706DD17
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r08 600,000,000 0D536E30
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r09 600,000,000 4A51847B
packt.hands-on.keras.for.machine.learning.engineers-xqzt.r10 115,846,914 D85B23C1
Total size: 6,715,846,914
Archived files
01.01-introduction.mkv [b4c113d3250537cc] 287,113,041 C7CF611A
01.02-what_youll_learn_in_this_course.mkv [14f85f0cb758d56a] 130,970,726 04080B34
01.03-is_this_course_right_for_you.mkv [8cd7c49b551eacac] 69,192,895 206B3031
01.04-what_is_keras.mkv [2b20171261ba16c9] 10,763,876 C5C31C3A
02.01-theano.mkv [e826b108e568b2dd] 203,002,525 7936C181
02.02-tensorflow.mkv [b3963ee007587cda] 17,259,093 BAE1DA0F
02.03-artificial_neural_network_anatomy.mkv [184dd53a202a95fe] 186,892,375 0391AB4B
02.04-deep_learning.mkv [5a53919a88c31ad6] 4,792,690 5D50517A
02.05-keras_life_cycle.mkv [11eb1a0a51a3bcf9] 27,234,852 394CD361
02.06-keras_code_anatomy.mkv [6b2069cf575a07a6] 18,817,343 BE274328
02.07-demo_case_study_on_pima_indian_diabetes_dataset_load_data.mkv [b7bd6c348c88a18d] 77,791,961 6BF90F08
02.08-demo_case_study_on_pima_indian_diabetes_dataset_define_and_compile.mkv [746db1946a0babad] 34,725,936 A441D6A2
02.09-demo_case_study_on_pima_indian_diabetes_dataset_fit_and_evaluate.mkv [6d4c2fca3edfffd7] 27,368,447 CECB9189
02.10-performance_evaluation_on_neural_networks.mkv [70530c9a39cc8ed] 218,102,879 1B6A709A
02.11-demo_case_study_on_data_segmentation.mkv [54be4d81f2e5b844] 77,349,917 21E570C4
02.12-scikit-learn_for_general_machine_learning.mkv [7c65bb57c1573bf4] 164,609,445 F609F39F
02.13-evaluate_models_with_cross-validation.mkv [5560b0402f316abe] 24,195,901 CCC4320A
02.14-grid_search_deep_learning_model_parameters.mkv [2637f229ea52e316] 62,601,398 98F436C2
02.15-demo_case_study_on_multiclass_classification.mkv [234c967006c4e8be] 199,417,770 0E87FAB2
02.16-demo_case_study_on_multiclass_classification_part_2.mkv [182266b95801faee] 68,713,476 67A0AE01
02.17-demo_case_study_on_binary_classification.mkv [77b11e523caa42ba] 193,972,084 4BF570C7
02.18-demo_case_study_on_binary_classification_part_2.mkv [49af45d908cd1a6c] 43,923,723 E5EC45FF
02.19-demo_case_study_on_binary_classification_part_3.mkv [48a21d7866cc4142] 28,189,549 7B72824D
02.20-demo_case_study_on_binary_classification_part_4.mkv [af21fcf4af089664] 48,602,622 630D8D78
02.21-demo_case_study_on_regression.mkv [959e17aea9383944] 129,352,812 6B9153B5
02.22-demo_case_study_on_regression_part_2.mkv [8d5071b893cbbc20] 43,312,234 859AD22B
02.23-demo_case_study_on_regression_part_3.mkv [b32d3b3eabfabbf0] 43,658,429 94E03FD7
03.01-model_serialization.mkv [3983cd2991618115] 96,205,723 0991B046
03.02-save_neural_network_to_json.mkv [5c8576b976588f] 30,469,608 7CACDC7F
03.03-save_neural_network_to_yaml.mkv [997efa1f82672cc8] 30,382,461 256AA9D7
03.04-demo_case_study_on_checkpointing.mkv [e25d32f2efe7af4] 111,980,492 3EFECFDA
03.05-demo_case_study_on_checkpointing_part_2.mkv [36979087d8fbe792] 18,333,698 FB366B7C
03.06-plotting_history.mkv [c80dad6329c8128b] 187,266,152 2EBECA61
03.07-visualize_model_training_history_in_keras.mkv [5e34a3a470c74fc5] 13,717,775 1B2BF684
03.08-demo_case_study_on_dropping_out.mkv [6f6379e5e045f485] 190,404,868 D627D4DC
03.09-demo_case_study_on_dropping_out_part_2.mkv [2d1e7a6ee20029af] 107,177,371 47E53AE2
03.10-dropout_tips.mkv [5701f1591d838a87] 11,597,868 E3271976
03.11-learning_rate_defined.mkv [35163d02358b53ea] 327,484,892 2761853F
03.12-configure_learning_rate.mkv [b35aecad00659a37] 206,988,831 64147527
03.13-demo_case_study_on_learning_rates.mkv [3117218f0b343639] 163,524,024 679B8A14
03.14-demo_case_study_on_learning_rates_part_2.mkv [14f0dd135d3d4ec2] 14,178,962 102D95CF
03.15-demo_case_study_on_learning_rates_part_3.mkv [2ab8d0cb5ad1091d] 19,812,958 BDDA436D
04.01-convolutional_neural_networks.mkv [606c49359b7d0b9] 365,007,537 92AD316E
04.02-demo_case_study_on_handwritten_digit_recognition.mkv [e724dd7225721a9a] 109,642,267 351D68C6
04.03-demo_case_study_handwritten_digit_recognition_part_2.mkv [73d6ffac02e67775] 49,153,062 D0EA0E4B
04.04-demo_case_study_on_handwritten_digit_recognition_part_3.mkv [aeb6efeb2699530b] 43,534,613 D286F1C3
04.05-demo_case_study_on_handwritten_digit_recognition_part_4.mkv [43516877355fd4dc] 24,463,384 54BE5B47
04.06-image_augmentation.mkv [4e0c2263c4dd1b95] 389,767,499 D2C82D0D
04.07-demo_case_study_on_image_augmentation.mkv [382fb8305fb166bb] 21,588,160 36F73E76
04.08-demo_case_study_on_image_augmentation_part_2.mkv [86fb1b4e4a791cf] 50,284,403 988903CB
04.09-image_augmentation_tips.mkv [c48cba82eaa45c6b] 3,991,609 FDD458F5
04.10-object_recognition.mkv [5a38e5ec735c8e84] 326,138,390 44F95BD8
04.11-demo_case_study_on_object_recognition.mkv [bd9e52a517f40901] 39,051,625 8E60F618
04.12-improving_model_performance.mkv [30412648d81126e0] 4,149,687 13A2D798
04.13-sentiment_analysis_in_keras.mkv [f5029cfc1f1eb360] 247,323,821 2DA2F7C6
04.14-imdb_dataset_properties.mkv [ee3dfc870f5d442f] 8,802,580 D7C766CE
04.15-word_embedding_defined.mkv [e866ddaa8f12e6e5] 9,338,517 B07E7ACF
04.16-demo_case_study_on_word_embedding.mkv [a0f86896bfb0192f] 36,960,092 74D21579
04.17-demo_case_study_on_word_embedding_part_2.mkv [c80c78f3ea48eb86] 33,231,690 2EAC735B
05.01-recurrent_neural_networks.mkv [cf5b52d1129c943d] 289,285,416 9EAACD0D
05.02-demo_case_study_on_time_series_prediction.mkv [3867db8401413d2b] 90,381,922 8D152440
05.03-demo_case_study_on_time_series_prediction_part_2.mkv [bc230a0d636f5800] 53,814,212 DA16E0CF
05.04-demo_case_study_on_time_series_prediction_part_3.mkv [fd30af12e1563bf0] 20,890,508 0E93FF14
05.05-demo_case_study_on_time_series_prediction_with_lstm.mkv [91b78760ac2d3eb3] 161,209,422 0134CACB
05.06-demo_case_study_on_time_series_prediction_with_lstm_part_2.mkv [636f7a2785f7d400] 188,423,624 6A7F4A8E
05.07-demo_case_study_on_time_series_prediction_with_lstm_part_3.mkv [9152f13d995dbabe] 56,320,601 35931256
05.08-demo_case_study_on_sequence_classification.mkv [b8f62bbafdae9919] 96,599,909 3B92AD75
05.09-demo_case_study_on_sequence_classification_part_2.mkv [6e4c304b230ef14d] 24,836,996 F9378692
9781803232522_Code.zip 194,724 C5F5666F
Total size: 6,715,839,952
Video files
Sample
packt.hands-on.keras.for.machine.learning.engineers-xqzt-sample.mkv 186,767,346 6AB7B95E
RAR Recovery
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