Coursera Practical Deep Learning With Python 2025

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Coursera Practical Deep Learning With Python 2025
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Torrent File Content (94 files)

[OneHack.Us] Coursera - Practical Deep Learning With Python 2025
01-Deep_Learning_Components
01-Environment_Set_Up_And_Configuration/01-welcome_to_practical_deep_learning_with_python_instructions.html -

7.21 KB

01-Environment_Set_Up_And_Configuration/02-course_introduction.mp4 -

27.98 MB

01-Environment_Set_Up_And_Configuration/03-environment_configuration.mp4 -

21.82 MB

01-Environment_Set_Up_And_Configuration/04-system_requirements_and_pre_requisite_for_studying_deep_learning_instructions.html -

4.51 KB

02-Essentials_Of_Deep_Learning/01-machine_learning_vs_deep_learning.mp4 -

34.27 MB

02-Essentials_Of_Deep_Learning/02-what_is_deep_learning.mp4 -

20.31 MB

02-Essentials_Of_Deep_Learning/03-neural_networks.mp4 -

42.16 MB

02-Essentials_Of_Deep_Learning/04-artificial_neural_network_ann.mp4 -

24.4 MB

02-Essentials_Of_Deep_Learning/05-ann_types_and_applications.mp4 -

17.78 MB

02-Essentials_Of_Deep_Learning/06-forward_propagation.mp4 -

20.61 MB

02-Essentials_Of_Deep_Learning/07-perceptron.mp4 -

30.93 MB

02-Essentials_Of_Deep_Learning/08-learning_rate.mp4 -

29.25 MB

02-Essentials_Of_Deep_Learning/09-what_is_activation_function.mp4 -

17.83 MB

02-Essentials_Of_Deep_Learning/10-activation_function_and_its_types.mp4 -

23.41 MB

02-Essentials_Of_Deep_Learning/11-importance_of_epoch.mp4 -

24.78 MB

02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4 -

44.01 MB

02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4 -

77.15 MB

02-Essentials_Of_Deep_Learning/14-learning_rate_in_deep_learning_instructions.html -

3.86 KB

03-Building_Perceptron_And_Its_Working/01-limitations_of_single_layered_perceptron.mp4 -

11.05 MB

03-Building_Perceptron_And_Its_Working/02-multi_layered_perceptron.mp4 -

12.04 MB

03-Building_Perceptron_And_Its_Working/03-what_is_backpropagation.mp4 -

10.26 MB

03-Building_Perceptron_And_Its_Working/04-backpropagation.mp4 -

17 MB

03-Building_Perceptron_And_Its_Working/05-demonstration_building_a_simple_neural_network.mp4 -

40.88 MB

03-Building_Perceptron_And_Its_Working/06-demonstration_understanding_how_backpropagation_has_worked.mp4 -

40.45 MB

03-Building_Perceptron_And_Its_Working/07-demonstration_handwritten_digits_classification_data_preprocessing.mp4 -

41.79 MB

03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4 -

73.22 MB

03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4 -

88.77 MB

03-Building_Perceptron_And_Its_Working/10-hebbian_learning_algorithm_instructions.html -

27.28 KB

04-Module_Wrap_Up_And_Assessment/01-summary_of_deep_learning_components.mp4 -

36.33 MB

02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn
01-Convolutional_Neural_Network/01-limitations_of_mlp.mp4 -

27.91 MB

01-Convolutional_Neural_Network/01. Support - Onehack.Us.txt -

94 bytes

01-Convolutional_Neural_Network/02-mlp_limitations_resolving_the_issue_with_cnn.mp4 -

21.51 MB

01-Convolutional_Neural_Network/03-visual_cortex_and_cnn.mp4 -

31.61 MB

01-Convolutional_Neural_Network/04-convolutional_layer.mp4 -

31.99 MB

01-Convolutional_Neural_Network/05-working_of_convolutional_layer.mp4 -

31.99 MB

01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4 -

42.04 MB

01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4 -

52.84 MB

01-Convolutional_Neural_Network/08-demonstration_building_the_cnn_model.mp4 -

37.97 MB

01-Convolutional_Neural_Network/09-demonstration_model_accuracy.mp4 -

21.46 MB

01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4 -

62.39 MB

01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4 -

78.21 MB

01-Convolutional_Neural_Network/12-demonstration_pre_trained_model.mp4 -

37.38 MB

01-Convolutional_Neural_Network/13-why_convolutions_are_important_instructions.html -

2.08 KB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/01-classification_and_object_detection.mp4 -

29.81 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/02-introduction_to_rcnn.mp4 -

31.51 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/03-r_cnn_bounding_box_regression.mp4 -

12.46 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/04-pre_trained_model.mp4 -

29.04 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/05-fast_regional_cnn.mp4 -

32.1 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/06-demonstration_creating_base_variables_and_loading_the_model.mp4 -

37 MB

02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/07-demonstration_training_the_model_and_visualizing_the_predictions.mp4 -

53.63 MB

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