Deep Learning Specialization

Creation Time	Sept. 21, 2023, 2:34 a.m.
Last Access Time	Sept. 26, 2024, 12:34 p.m.
File Size	2.6 GB
Keywords	Learning Deep Specialization
Total Requests	24
Total Files	927
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4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition_C4W4L01_WhatIsFaceRecog.pptx 137.7 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/03_heroes-of-deep-learning-optional/01_geoffrey-hinton-interview.mp4 84.5 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/03_why-does-batch-norm-work_C2W3L06.pptx 63.1 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss_C4W4L04_TripletLoss.pptx 59.5 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/05_heroes-of-deep-learning-optional/01_yoshua-bengio-interview.mp4 55.1 MB
3. machine-learning-projects/02_ml-strategy-2/05_heroes-of-deep-learning-optional/01_ruslan-salakhutdinov-interview.mp4 44.7 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer_C4W4L06_WhatIsNeuralTransferStyle.pptx 38.1 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/01_softmax-regression_softmax-new.pptx 37.7 MB
3. machine-learning-projects/01_ml-strategy-1/05_heroes-of-deep-learning-optional/01_andrej-karpathy-interview.mp4 36.5 MB
1. neural-networks-deep-learning/02_neural-networks-basics/04_heroes-of-deep-learning-optional/01_pieter-abbeel-interview.mp4 35.5 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function_C4W4L08_CostFunction.pptx 34.2 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/02_cleaning-up-incorrectly-labeled-data_C3W2L02.pptx 32.4 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning_C4W4L02_OneShotLearning.pptx 32.2 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification_C4W4L05_FaceVerifABinaryClass.pptx 29.2 MB
2. deep-neural-network/02_optimization-algorithms/03_heroes-of-deep-learning-optional/01_yuanqing-lin-interview.mp4 27.1 MB
3. machine-learning-projects/01_ml-strategy-1/01_introduction-to-ml-strategy/01_why-ml-strategy_C3W1L01.pptx 25.1 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/03_heroes-of-deep-learning-optional/01_ian-goodfellow-interview.mp4 24.8 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/03_object-detection_C4W3L03_ObjectDetection.pptx 23.8 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.mp4 22.8 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/02_bias-and-variance-with-mismatched-data-distributions.mp4 22.7 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/04_introduction-to-programming-frameworks/02_tensorflow.mp4 21.3 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning_C4W4L07_WhatAreDeepCNsLearning.pptx 21.2 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/10_backpropagation-intuition-optional.mp4 20.3 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/02_landmark-detection_C4W3L02_LandmarkDetection.pptx 20.2 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.mp4 20.1 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.mp4 19.7 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/05_bounding-box-predictions.mp4 19.6 MB
3. machine-learning-projects/02_ml-strategy-2/03_learning-from-multiple-tasks/02_multi-task-learning.mp4 18.8 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/02_cleaning-up-incorrectly-labeled-data.mp4 18.3 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/08_derivatives-with-a-computation-graph.mp4 18.1 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows_C4W3L04_ConvImpSlidingWindows.pptx 17.6 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/02_fitting-batch-norm-into-a-neural-network.mp4 16.6 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/03_why-does-batch-norm-work.mp4 16.5 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.mp4 16.4 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.mp4 15.9 MB
3. machine-learning-projects/02_ml-strategy-2/03_learning-from-multiple-tasks/01_transfer-learning.mp4 15.5 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.mp4 15.5 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/01_object-localization.mp4 15.4 MB
3. machine-learning-projects/02_ml-strategy-2/04_end-to-end-deep-learning/01_what-is-end-to-end-deep-learning.mp4 15.0 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/01_mini-batch-gradient-descent.mp4 14.9 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/01_softmax-regression.mp4 14.7 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/05_when-to-change-dev-test-sets-and-metrics.mp4 14.7 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/06_activation-functions.mp4 14.6 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/03_understanding-human-level-performance.mp4 14.5 MB
3. machine-learning-projects/01_ml-strategy-1/01_introduction-to-ml-strategy/02_orthogonalization.mp4 14.5 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.mp4 14.4 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/02_understanding-mini-batch-gradient-descent.mp4 14.4 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/01_train-dev-test-sets.mp4 14.4 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/03_getting-your-matrix-dimensions-right.mp4 14.4 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/01_training-and-testing-on-different-distributions.mp4 14.3 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/06_forward-and-backward-propagation.mp4 14.0 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/01_carrying-out-error-analysis.mp4 14.0 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/04_gradient-descent.mp4 13.9 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.mp4 13.9 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/04_why-deep-representations.mp4 13.7 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/05_when-to-change-dev-test-sets-and-metrics_C3W1L07.pptx 13.6 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/05_broadcasting-in-python.mp4 13.5 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/08_anchor-boxes.mp4 13.5 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/03_why-is-deep-learning-taking-off.mp4 13.2 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/06_more-derivative-examples.mp4 13.2 MB
3. machine-learning-projects/02_ml-strategy-2/04_end-to-end-deep-learning/02_whether-to-use-end-to-end-deep-learning.mp4 13.2 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/01_training-and-testing-on-different-distributions_C3W2L04.pptx 13.1 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/03_addressing-data-mismatch.mp4 13.1 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/03_computing-a-neural-networks-output.mp4 13.0 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.mp4 12.9 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.mp4 12.7 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/09_gradient-descent-for-neural-networks.mp4 12.6 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/04_understanding-exponentially-weighted-averages.mp4 12.5 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/04_vectorizing-logistic-regressions-gradient-output.mp4 12.5 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mp4 12.4 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.mp4 12.3 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/02_training-a-softmax-classifier.mp4 12.1 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.mp4 12.1 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/06_gradient-descent-with-momentum.mp4 11.9 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.mp4 11.9 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.mp4 11.9 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/01_regularization.mp4 11.9 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/01_normalizing-activations-in-a-network.mp4 11.8 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/02_using-an-appropriate-scale-to-pick-hyperparameters.mp4 11.6 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/04_vectorizing-across-multiple-examples.mp4 11.6 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.mp4 11.6 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.mp4 11.4 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/06_1d-and-3d-generalizations.mp4 11.3 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/03_dropout-regularization.mp4 11.3 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.mp4 11.3 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/01_binary-classification.mp4 11.0 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.mp4 11.0 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/02_bias-variance.mp4 10.8 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/05_building-blocks-of-deep-neural-networks.mp4 10.7 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/02_supervised-learning-with-neural-networks.mp4 10.6 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/03_logistic-regression-cost-function.mp4 10.6 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/02_bias-variance_C2W1L02.pptx 10.5 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/02_avoidable-bias_C3W1L08B.pptx 10.4 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.mp4 10.4 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/07_rmsprop.mp4 10.3 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/07_non-max-suppression.mp4 10.1 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/01_vectorization.mp4 10.1 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/10_gradient-descent-on-m-examples.mp4 10.0 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/05_other-regularization-methods.mp4 9.9 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/02_forward-propagation-in-a-deep-network.mp4 9.9 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.mp4 9.8 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/11_random-initialization.mp4 9.8 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/01_single-number-evaluation-metric.mp4 9.8 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/05_explanation-for-vectorized-implementation.mp4 9.7 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/08_derivatives-of-activation-functions.mp4 9.6 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/05_derivatives.mp4 9.5 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/03_vectorizing-logistic-regression.mp4 9.4 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/08_adam-optimization-algorithm.mp4 9.4 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/09_learning-rate-decay.mp4 9.3 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/03_addressing-data-mismatch_C3W2L06.pptx 9.3 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/09_yolo-algorithm.mp4 9.1 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/01_tuning-process.mp4 9.0 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/06_a-note-on-python-numpy-vectors.mp4 9.0 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.mp4 9.0 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/04_understanding-dropout.mp4 9.0 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/02_why-regularization-reduces-overfitting.mp4 8.9 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/03_hyperparameters-tuning-in-practice-pandas-vs-caviar.mp4 8.8 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/10_optional-region-proposals.mp4 8.8 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/08_explanation-of-logistic-regression-cost-function-optional.mp4 8.8 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/07_parameters-vs-hyperparameters.mp4 8.7 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/02_avoidable-bias.mp4 8.7 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/01_object-localization_C4W3L01_ObjectLocalization.pptx 8.6 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/03_hyperparameters-tuning-in-practice-pandas-vs-caviar_C2W3L03.pptx 8.6 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network_C4W4L03_SiameseNetwork.pptx 8.6 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/09_logistic-regression-gradient-descent.mp4 8.5 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/01_what-is-a-neural-network.mp4 8.5 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/02_satisficing-and-optimizing-metric.mp4 8.5 MB
3. machine-learning-projects/01_ml-strategy-1/01_introduction-to-ml-strategy/02_orthogonalization_C3W1L02.pptx 8.4 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.mp4 8.4 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/03_train-dev-test-distributions.mp4 8.4 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/04_numerical-approximation-of-gradients.mp4 8.3 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/03_build-your-first-system-quickly-then-iterate.mp4 8.3 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/02_vanishing-exploding-gradients.mp4 8.2 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.mp4 8.2 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/02_landmark-detection.mp4 8.2 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/05_improving-your-model-performance.mp4 8.2 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.mp4 8.1 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/05_gradient-checking.mp4 8.1 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/02_more-vectorization-examples.mp4 8.1 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/04_surpassing-human-level-performance.mp4 8.1 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/03_basic-recipe-for-machine-learning.mp4 8.0 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/03_weight-initialization-for-deep-networks.mp4 7.9 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.mp4 7.9 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/01_deep-l-layer-neural-network.mp4 7.8 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/01_why-human-level-performance.mp4 7.7 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/03_exponentially-weighted-averages.mp4 7.6 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/04_size-of-the-dev-and-test-sets.mp4 7.6 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.mp4 7.6 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/04_batch-norm-at-test-time.mp4 7.6 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/07_why-do-you-need-non-linear-activation-functions.mp4 7.4 MB
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4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/03_object-detection.mp4 7.3 MB
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