RAR-files |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.rar |
600,000,000 |
B8A340C6 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r00 |
600,000,000 |
799DA347 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r01 |
600,000,000 |
66BBE042 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r02 |
600,000,000 |
0F4D346F |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r03 |
600,000,000 |
B1268561 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r04 |
600,000,000 |
0910C993 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r05 |
600,000,000 |
8DAB5002 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r06 |
600,000,000 |
D14EF470 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r07 |
600,000,000 |
F52D0368 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r08 |
600,000,000 |
951C0E56 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r09 |
600,000,000 |
241ED813 |
packt.deep.learning.using.keras.a.complete.and.compact.guide.for.beginners-xqzt.r10 |
36,395,757 |
A05DAC3F |
|
Total size: |
6,636,395,757 |
|
|
Archived
files |
01.01-course_introduction_and_table_of_contents.mkv
[a537ac723ecc8416]
|
160,299,337 |
C4D6C56E |
02.01-introduction_to_ai_(artificial_intelligence)_and_machine_learning.mkv
[6a0281bed4a8d4d7]
|
47,157,723 |
2600E1E2 |
02.02-introduction_to_deep_learning.mkv
[523f7c7f6ec754d9]
|
66,551,104 |
6AC57915 |
03.01-installing_anaconda.mkv
[ec829fe15c8a28a3]
|
99,467,514 |
547B296A |
04.01-assignment.mkv
[d4309daccba7bb72]
|
67,220,133 |
826E276D |
04.02-flow_control-part_1.mkv
[83eb697fcb037cfc]
|
48,048,539 |
A0548EFC |
04.03-flow_control-part_2.mkv
[ce064a136e8b43f1]
|
39,457,267 |
E80A3E85 |
04.04-list_and_tuples.mkv
[8e6cc70af52e711f]
|
47,903,788 |
30B6518E |
04.05-dictionary_and_functions-part_1.mkv
[256d4efd95a29f5a]
|
50,888,121 |
FC48BFD0 |
04.06-dictionary_and_functions-part_2.mkv
[8d7eb7dd7f61635d]
|
35,374,399 |
8008DEAD |
05.01-numpy_basics-part_1.mkv
[d3c702bc36e7b2cb]
|
38,573,140 |
86D0A29B |
05.02-numpy_basics-part_2.mkv
[2c43ce57aa9e9f3c]
|
51,033,832 |
E4B7B0AF |
06.01-matplotlib_basics-part_1.mkv
[2c2b050f79d59ef2]
|
45,191,712 |
940791AC |
06.02-matplotlib_basics-part_2.mkv
[8e2a3a1fd8836ab7]
|
39,015,060 |
9FBFB6B5 |
07.01-pandas_basics-part_1.mkv
[da2d280fb861f671]
|
57,469,714 |
12D5C27C |
07.02-pandas_basics-part_2.mkv
[591efdcae0eb5fff]
|
42,241,158 |
1B7FA726 |
08.01-installing_deep_learning_libraries.mkv
[9dd3842db5be5d17]
|
52,024,688 |
508C6F6A |
09.01-basic_structure.mkv
[cfa90918d2fc78a0]
|
58,765,722 |
0CEA9CAF |
10.01-introduction.mkv
[5874f68a616adedf]
|
44,155,981 |
DE49D360 |
11.01-popular_types_of_activation_functions.mkv
[4ec558352ce9aabe]
|
72,136,899 |
85D44A5A |
12.01-popular_types_of_loss_functions.mkv
[8f92ff7d04885db7]
|
77,888,465 |
9F431EC5 |
13.01-popular_optimizers.mkv
[1e86b5557559a8c6]
|
73,884,579 |
F31AF421 |
14.01-popular_neural_network_types.mkv
[6f6cf444cefa8cdf]
|
65,143,899 |
266F21AF |
15.01-step_1-fetch_and_load_dataset.mkv
[fc9d4481d451c53f]
|
95,278,996 |
F494B82B |
15.02-step_2_and_3-eda_(exploratory_data_analysis)_and_data_preparation-part_1.mkv
[6b9a9b04a32c3690]
|
141,274,228 |
4122B08F |
15.03-step_2_and_3-eda_and_data_preparation-part_2.mkv
[f1399577e1dba97c]
|
118,072,388 |
332BE5ED |
15.04-step_4-defining_the_keras_model-part_1.mkv
[3a6f320ef0e58d5d]
|
52,633,727 |
394534D1 |
15.05-step_4-defining_the_keras_model-part_2.mkv
[bc9fef5a1ceabf42]
|
57,241,344 |
8868175C |
15.06-step_5_and_6-compile_and_fit_model.mkv
[b63cd8b36c44c247]
|
102,008,412 |
C6C27EF0 |
15.07-step_7-visualize_training_and_metrics.mkv
[539640543748805a]
|
80,139,872 |
C4F681E1 |
15.08-step_8-prediction_using_the_model.mkv
[59c310560af47f7f]
|
47,191,520 |
DB7201AC |
16.01-heart_disease_binary_classification_model-introduction.mkv
[3c1b265a30dac91c]
|
41,786,165 |
2E14BA1C |
16.02-step_1-fetch_and_load_data.mkv
[c174880d99fe8d9]
|
78,420,158 |
F83BE13C |
16.03-step_2_and_3-eda_and_data_preparation-part_1.mkv
[ce907c709f115f0f]
|
69,474,783 |
88FCC4C4 |
16.04-step_2_and_3-eda_and_data_preparation-part_2.mkv
[925fe86c02e61fe]
|
75,578,941 |
8B9D6284 |
16.05-step_4-defining_the_model.mkv
[3954c99e8ffa5534]
|
68,880,790 |
42A35653 |
16.06-step_5_and_6-compile_fit_and_plot_the_model.mkv
[c02482bd9bac7a49]
|
64,903,490 |
D49D812E |
16.07-step_7-predicting_heart_disease_using_model.mkv
[231de14423757e1c]
|
47,484,934 |
0039DCA5 |
17.01-introduction.mkv
[fb74ad1f4fd98926]
|
29,709,311 |
E2873258 |
17.02-step_1-fetch_and_load_data.mkv
[ab2da0703277222c]
|
48,513,930 |
520ACF7D |
17.03-step_2_and_3-eda_and_data_visualization.mkv
[46993d0fff8dc887]
|
113,424,011 |
C924E26E |
17.04-step_4-defining_the_model.mkv
[6fc96c89edaf769f]
|
72,887,180 |
B03EBA68 |
17.05-step_5_and_6-compile_fit_and_plot_the_model.mkv
[1f8fcd320fd494bd]
|
73,143,285 |
30990D3C |
17.06-step_7-predicting_wine_quality_using_model.mkv
[1a5a39967a284ad2]
|
46,180,201 |
BE61A197 |
17.07-serialize_and_save_trained_model_for_later_use.mkv
[809ed1feee65327c]
|
49,684,091 |
BF381F2D |
18.01-digital_image.mkv
[f84192e169ee96f9]
|
73,503,387 |
23B94B4F |
18.02-basic_image_processing_using_keras_functions-part_1.mkv
[8764ea8c203613ca]
|
68,870,174 |
C5E33B74 |
18.03-basic_image_processing_using_keras_functions-part_2.mkv
[6bf5ef74d5ad5414]
|
67,836,046 |
061DC35C |
18.04-basic_image_processing_using_keras_functions-part_3.mkv
[e2f308bbf5403d32]
|
45,344,377 |
628456BC |
19.01-keras_single_image_augmentation-part_1.mkv
[32a0b3b8571aa716]
|
99,609,551 |
064B895A |
19.02-keras_single_image_augmentation-part_2.mkv
[26a070942521bfe6]
|
86,876,355 |
A5459EE6 |
19.03-keras_directory_image_augmentation.mkv
[1d3d8a6dbb4ffd91]
|
100,222,798 |
A9C46572 |
19.04-keras_data_frame_augmentation.mkv
[4cba6030a76c2d0e]
|
99,747,620 |
0AE502F1 |
20.01-cnn_(convolutional_neural_networks)_basics.mkv
[36e703c84552a565]
|
109,793,837 |
61744A70 |
20.02-stride_padding_and_flattening_concepts_of_cnn.mkv
[dac3ce936c9c60ff]
|
87,545,295 |
FB7F66D6 |
21.01-fetch_load_and_prepare_data.mkv
[e086b25b805ee808]
|
87,497,727 |
455F5B22 |
21.02-create_test_and_train_folders.mkv
[1c2f2379016b05c5]
|
53,185,201 |
D371B7A0 |
21.03-defining_the_model-part_1.mkv
[18a10b4c9cec8967]
|
51,054,927 |
F57F8EE6 |
21.04-defining_the_model-part_2.mkv
[69c500e3bb75ed5]
|
82,296,878 |
124C9760 |
21.05-defining_the_model-part_3.mkv
[4199faa4cc9b3361]
|
37,240,009 |
EF785E81 |
21.06-training_and_visualization.mkv
[ba8c633ee3741fd9]
|
112,313,071 |
162D64F5 |
21.07-save_model_for_later_use.mkv
[dcbbc08847634b5f]
|
30,906,374 |
45AF9C1A |
21.08-load_saved_model_and_predict.mkv
[e9f074abccc7c44f]
|
92,234,721 |
8CF051B1 |
21.09-improving_model-optimization_techniques.mkv
[e7f894687a5df99e]
|
31,148,627 |
AFC2B17F |
21.10-dropout_regularization.mkv
[45375a67fe2117c2]
|
64,217,722 |
1C31415C |
21.11-padding_and_filter_optimization.mkv
[b44e99558f6a9b73]
|
78,729,745 |
AF9BA1F3 |
21.12-augmentation_optimization.mkv
[d88f97d0daf7dbe4]
|
57,762,356 |
6CB87E68 |
21.13-hyper_parameter_tuning-part_1.mkv
[3329e0d001406d66]
|
82,246,185 |
50B8E65D |
21.14-hyper_parameter_tuning-part_2.mkv
[4ec19a530437f491]
|
129,611,752 |
190E4864 |
22.01-vgg_introduction.mkv
[47ea3d0de57de37c]
|
79,853,104 |
41F043E5 |
23.01-vgg16_and_vgg19_prediction-part_1.mkv
[9e93c001d93db644]
|
95,120,709 |
EAFCFD18 |
23.02-vgg16_and_vgg19_prediction-part_2.mkv
[6efee82a6c696add]
|
45,816,724 |
68EB3D2F |
24.01-resnet50_prediction.mkv
[c9d31f282dfc18f6]
|
77,359,725 |
FD9FD1B9 |
25.01-vgg16-part_1.mkv
[23000cc68e9e3060]
|
73,645,889 |
81BB6D3A |
25.02-vgg16-part_2.mkv
[70baa9c62127274b]
|
109,114,377 |
384C9E15 |
26.01-vgg16_transfer_learning_flower_prediction.mkv
[a19e6da70edc45d0]
|
27,068,256 |
D0B49046 |
27.01-preparing_and_uploading_dataset.mkv
[5d53ec1818cd8968]
|
83,095,862 |
64E845E8 |
27.02-training_and_prediction.mkv
[77f238dcf91ededc]
|
212,974,288 |
59D69698 |
28.01-training_and_prediction.mkv
[22c9071789f521f1]
|
77,114,861 |
69907997 |
29.01-training_and_prediction.mkv
[a7698e66f43c250e]
|
68,022,227 |
05384B67 |
9781803231587_Code.zip |
903,602,925 |
94B65506 |
|
Total size: |
6,636,388,213 |
|
|