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  • 2025-02-28 12:27:00
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ReScene version pyReScene Auto 0.7 LERNSTUF File size CRC
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25,318
Stored files
4,366 BAF8F370
162 1B87CCDD
RAR-files
lsxb15gw0225.rar 500,000,000 705372ED
lsxb15gw0225.r00 500,000,000 286FC737
lsxb15gw0225.r01 500,000,000 F7756DBC
lsxb15gw0225.r02 500,000,000 ED0FE6EB
lsxb15gw0225.r03 500,000,000 ABD3B07A
lsxb15gw0225.r04 353,908,643 282D8086
Total size: 2,853,908,643
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01-Deep_Learning_Components\01-Environment_Set_Up_And_Configuration\03-environment_configuration.mp4 [ee990739a77bdb4e] 22,874,476 8A1AEF41
01-Deep_Learning_Components\01-Environment_Set_Up_And_Configuration\04-system_requirements_and_pre_requisite_for_studying_deep_learning_instructions.html 4,623 F8CAC7AB
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01-Deep_Learning_Components\02-Essentials_Of_Deep_Learning\03-neural_networks.mp4 [24f4f3d10c7df694] 44,207,764 4E60C8BA
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01-Deep_Learning_Components\02-Essentials_Of_Deep_Learning\05-ann_types_and_applications.mp4 [cc4c13cfac098fce] 18,647,124 576FEB10
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01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\03-what_is_backpropagation.mp4 [f2780a42c7969c4b] 10,763,067 4802D1E3
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\04-backpropagation.mp4 [f43df9d7f49214c7] 17,824,575 5ADDF0E0
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\05-demonstration_building_a_simple_neural_network.mp4 [b01f67858133e0d9] 42,862,848 0AB70A24
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\06-demonstration_understanding_how_backpropagation_has_worked.mp4 [e0838b0a77d80c1c] 42,416,296 5EB2A085
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\07-demonstration_handwritten_digits_classification_data_preprocessing.mp4 [774cf58d78f21bb0] 43,818,822 64CCED3C
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\08-demonstration_handwritten_digits_classification_designing_the_model.mp4 [33788c6bdeab0269] 76,771,350 EDF53D8A
01-Deep_Learning_Components\03-Building_Perceptron_And_Its_Working\09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 [4f5ca495101237f0] 93,082,757 23863F00
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02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\01-Convolutional_Neural_Network\06-demonstration_load_and_preprocess_the_data.mp4 [b7a67657e8796c13] 44,085,668 1B61D084
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\01-Convolutional_Neural_Network\07-demonstration_designing_the_model.mp4 [20311a3ba3b8b0fd] 55,411,098 41E71FC5
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02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn\07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 [c24f52fe7a2ec32f] 56,236,439 6657DB96
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn\08-demonstration_svm_as_a_classifier.mp4 [3f9f509ac277c998] 24,539,562 D620E980
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn\09-svm_classifier_in_object_detection_instructions.html 4,359 F5DBCB6B
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\01-fast_rcnn_limitations.mp4 [f8498695b2df35d7] 26,108,587 49AD2A06
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\02-advent_of_faster_r_cnn.mp4 [70288a6d860416b2] 26,462,813 44A1A70A
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\03-tensorflow_hub.mp4 [346002ecfc47b10c] 21,301,889 7C27C033
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\04-demonstration_object_detection_with_faster_rcnn_pretrained_model_setup.mp4 [93f56ac44fd1da53] 78,288,254 1A0FBB16
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\05-demonstration_object_detection_with_faster_rcnn_building_the_model.mp4 [a72c4a9ffc2deab4] 86,933,261 3C2C70CD
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network\06-faster_r_cnn_architecture_instructions.html 6,064 6A53B3BC
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn\04-Module_Wrap_Up_And_Assessment\01-summary_of_cnn_in_deep_learning.mp4 [3c8906c152e43a9] 13,970,659 2F25B61A
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\01-Working_Of_Recurrent_Neural_Networks_Rnn\03-rnn_architecture_workflow.mp4 [ab3d57dd04fa60a7] 30,327,405 358E404F
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\01-Working_Of_Recurrent_Neural_Networks_Rnn\04-implementing_rnn.mp4 [9399d0d08a80e8d8] 30,276,789 8B409C46
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\01-Working_Of_Recurrent_Neural_Networks_Rnn\05-demonstration_rnn_dataset_preparation.mp4 [6d31eab43e53f8b7] 65,053,703 ABEA08A1
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\01-Working_Of_Recurrent_Neural_Networks_Rnn\06-demonstration_rnn_building_the_model.mp4 [63a67e26fc3dc4fe] 65,404,595 1D08C5D5
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\01-Working_Of_Recurrent_Neural_Networks_Rnn\07-recurrent_neural_networks_rnns_in_deep_learning_instructions.html 20,114 37E75247
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\01-basics_of_lstm.mp4 [d50307b810155d95] 29,734,598 CA1F5A3F
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\02-lstm_structure.mp4 [1c0cabf0e3351d78] 25,417,131 D81B75C2
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\04-output_gate.mp4 [e86725c4c1818c34] 14,773,953 DCF0EE4D
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\07-demonstration_next_word_prediction_processing_the_corpus.mp4 [c38a6a49f42489e3] 52,597,406 961A8EDE
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\08-demonstration_next_word_prediction_layers.mp4 [545a270940592ba5] 61,787,248 9BB90AC4
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\02-Lstm_Architecture\09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4 [9b56f7bf6347dc2e] 101,255,191 CA3A1FD4
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03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization\03-Module_Optimization_And_Compilation\03-using_adam_optimizer.mp4 [1c2795c1c7e21e14] 33,510,880 91F19D9D
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LERNSTUF\lernstuf.nfo 1,819 F3BC8590
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Resources\02-Module_2_Datasets\resources.html 67,259 643B9B59
Total size: 2,853,893,064
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