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[OneHack.Us] Coursera - Practical Deep Learning With Python 2025

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File Name
Size
01-Deep_Learning_Components/01-Environment_Set_Up_And_Configuration/01-welcome_to_practical_deep_learning_with_python_instructions.html
7.2 kB
01-Deep_Learning_Components/01-Environment_Set_Up_And_Configuration/02-course_introduction.mp4
28 MB
01-Deep_Learning_Components/01-Environment_Set_Up_And_Configuration/03-environment_configuration.mp4
22 MB
01-Deep_Learning_Components/01-Environment_Set_Up_And_Configuration/04-system_requirements_and_pre_requisite_for_studying_deep_learning_instructions.html
4.5 kB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/01-machine_learning_vs_deep_learning.mp4
34 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/02-what_is_deep_learning.mp4
20 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/03-neural_networks.mp4
42 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/04-artificial_neural_network_ann.mp4
24 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/05-ann_types_and_applications.mp4
18 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/06-forward_propagation.mp4
21 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/07-perceptron.mp4
31 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/08-learning_rate.mp4
29 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/09-what_is_activation_function.mp4
18 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/10-activation_function_and_its_types.mp4
23 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/11-importance_of_epoch.mp4
25 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/12-single_layer_perceptron_define_sigmoid_function.mp4
44 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/13-single_layer_perceptron_decision_boundary.mp4
77 MB
01-Deep_Learning_Components/02-Essentials_Of_Deep_Learning/14-learning_rate_in_deep_learning_instructions.html
3.9 kB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/01-limitations_of_single_layered_perceptron.mp4
11 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/02-multi_layered_perceptron.mp4
12 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/03-what_is_backpropagation.mp4
10 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/04-backpropagation.mp4
17 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/05-demonstration_building_a_simple_neural_network.mp4
41 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/06-demonstration_understanding_how_backpropagation_has_worked.mp4
40 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/07-demonstration_handwritten_digits_classification_data_preprocessing.mp4
42 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/08-demonstration_handwritten_digits_classification_designing_the_model.mp4
73 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/09-demonstration_handwritten_digits_classification_optimizing_the_model.mp4
89 MB
01-Deep_Learning_Components/03-Building_Perceptron_And_Its_Working/10-hebbian_learning_algorithm_instructions.html
27 kB
01-Deep_Learning_Components/04-Module_Wrap_Up_And_Assessment/01-summary_of_deep_learning_components.mp4
36 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/01-limitations_of_mlp.mp4
28 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/01. Support - Onehack.Us.txt
94 B
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/02-mlp_limitations_resolving_the_issue_with_cnn.mp4
22 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/03-visual_cortex_and_cnn.mp4
32 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/04-convolutional_layer.mp4
32 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/05-working_of_convolutional_layer.mp4
32 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/06-demonstration_load_and_preprocess_the_data.mp4
42 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/07-demonstration_designing_the_model.mp4
53 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/08-demonstration_building_the_cnn_model.mp4
38 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/09-demonstration_model_accuracy.mp4
22 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/10-demonstration_adding_more_layers.mp4
62 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/11-demonstration_building_basic_cnn_model_with_new_parameters.mp4
78 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/12-demonstration_pre_trained_model.mp4
37 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/01-Convolutional_Neural_Network/13-why_convolutions_are_important_instructions.html
2.1 kB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/01-classification_and_object_detection.mp4
30 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/02-introduction_to_rcnn.mp4
32 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/03-r_cnn_bounding_box_regression.mp4
12 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/04-pre_trained_model.mp4
29 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/05-fast_regional_cnn.mp4
32 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/02-Tensorflow_Hub_For_Object_Detection_Using_Faster_Rcnn/06-demonstration_creating_base_variables_and_loading_the_model.mp4
37 MB
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
54 MB
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
23 MB
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
4.3 kB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/01-fast_rcnn_limitations.mp4
25 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/02-advent_of_faster_r_cnn.mp4
25 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/03-tensorflow_hub.mp4
20 MB
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
75 MB
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
83 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/03-Faster_Rcnn_Recurrent_Convolutional_Neural_Network/06-faster_r_cnn_architecture_instructions.html
5.9 kB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/04-Module_Wrap_Up_And_Assessment/01-summary_of_cnn_in_deep_learning.mp4
13 MB
02-Deep_Learning_With_Cnn_Rcnn_And_Faster_Rcnn/04-Module_Wrap_Up_And_Assessment/02-summary_of_faster_rcnn.mp4
22 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/01-rnn_fundamentals.mp4
20 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/02-rnn_architecture.mp4
23 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/03-rnn_architecture_workflow.mp4
29 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/04-implementing_rnn.mp4
29 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/05-demonstration_rnn_dataset_preparation.mp4
62 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/01-Working_Of_Recurrent_Neural_Networks_Rnn/06-demonstration_rnn_building_the_model.mp4
62 MB
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 kB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/01-basics_of_lstm.mp4
28 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/02-lstm_structure.mp4
24 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/03-forget_gate_and_input_gate.mp4
21 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/04-output_gate.mp4
14 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/05-importance_of_lstm_architecture.mp4
23 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/06-types_of_lstm.mp4
19 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/07-demonstration_next_word_prediction_processing_the_corpus.mp4
50 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/08-demonstration_next_word_prediction_layers.mp4
59 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/09-demonstration_next_word_prediction_model_compilation_and_prediction.mp4
97 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/10-attention_based_lstm_long_short_term_memory_instructions.html
7.4 kB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/02-Lstm_Architecture/11-capsule_networks_in_deep_learning_instructions.html
4.2 kB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/01-improving_a_model.mp4
33 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/02-model_optimization.mp4
22 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/03-using_adam_optimizer.mp4
32 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/04-model_compilation.mp4
14 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/05-model_compilation_with_popular_frameworks.mp4
27 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/06-demonstration_model_compilation_preparing_the_dataset.mp4
56 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/07-demonstration_building_and_compiling_model.mp4
46 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/08-demonstration_from_rmsprop_to_adam.mp4
45 MB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/03-Module_Optimization_And_Compilation/09-model_optimizers_beyond_adam_instructions.html
87 kB
03-Deep_Learning_With_Rnn_Lstm_And_Model_Optimization/04-Module_Wrap_Up_And_Assessment/01-summary_of_deep_learning_with_rnn_and_lstm_with_model_optimization.mp4
33 MB
Resources/01-Module_3_Datasets/history.p
436 B
Resources/01-Module_3_Datasets/next_word_model.keras
9.8 MB
Resources/02-Module_2_Datasets/resources.html
66 kB
04-Course_Wrap_Up_And_Assessment/01-course_summary_for_practical_deep_learning_with_python.mp4
23 MB
04-Course_Wrap_Up_And_Assessment/02-practice_project_mnist_fashion_dataset_analysis_instructions.html
64 kB
Support - Onehack.Us.txt
94 B