zhongziso
搜索
zhongziso
首页
首页
功能
磁力转BT
BT转磁力
关于
使用教程
免责声明
磁力助手
Deep Learning Specialization
magnet:?xt=urn:btih:a13500c6031fdc57e81962f06143ddaec63dcfa1&dn=Deep Learning Specialization
磁力链接详情
文件列表详情
a13500c6031fdc57e81962f06143ddaec63dcfa1
infohash:
150
文件数量
1.81 GB
文件大小
2019-2-4 16:12
创建日期
2024-6-17 14:29
最后访问
相关分词
Deep
Learning
Specialization
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/06_course-resources.mp4 2.23 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/01_what-is-neural-style-transfer.mp4 2.99 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/04_about-this-course.mp4 3.15 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/07_computation-graph.mp4 4.38 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/08_what-does-this-have-to-do-with-the-brain.mp4 4.4 MB
3. machine-learning-projects/01_ml-strategy-1/01_introduction-to-ml-strategy/01_why-ml-strategy.mp4 4.51 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/04_content-cost-function.mp4 4.66 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/01_why-look-at-case-studies.mp4 4.67 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/03_cost-function.mp4 5.2 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/06_intersection-over-union.mp4 5.47 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/01_neural-networks-overview.mp4 5.59 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/07_quick-tour-of-jupyter-ipython-notebooks.mp4 5.87 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/02_one-shot-learning.mp4 5.88 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/05_bias-correction-in-exponentially-weighted-averages.mp4 6.01 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/03_siamese-network.mp4 6.09 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/04_introduction-to-programming-frameworks/01_deep-learning-frameworks.mp4 6.37 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/02_neural-network-representation.mp4 6.6 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/10_the-problem-of-local-optima.mp4 6.88 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/06_gradient-checking-implementation-notes.mp4 6.89 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/01_normalizing-inputs.mp4 6.95 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/02_logistic-regression.mp4 7.2 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/03_object-detection.mp4 7.29 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/01_welcome-to-the-deep-learning-specialization/01_welcome.mp4 7.36 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/07_why-do-you-need-non-linear-activation-functions.mp4 7.39 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/04_batch-norm-at-test-time.mp4 7.62 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/01_computer-vision.mp4 7.63 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/04_size-of-the-dev-and-test-sets.mp4 7.64 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/03_exponentially-weighted-averages.mp4 7.65 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/01_why-human-level-performance.mp4 7.75 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/01_deep-l-layer-neural-network.mp4 7.78 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/05_face-verification-and-binary-classification.mp4 7.87 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/03_weight-initialization-for-deep-networks.mp4 7.88 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 7.97 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/04_surpassing-human-level-performance.mp4 8.05 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/02_more-vectorization-examples.mp4 8.08 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/05_gradient-checking.mp4 8.08 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/01_using-open-source-implementation.mp4 8.14 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/05_improving-your-model-performance.mp4 8.16 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/02_landmark-detection.mp4 8.17 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/05_networks-in-networks-and-1x1-convolutions.mp4 8.19 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/02_vanishing-exploding-gradients.mp4 8.22 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/03_build-your-first-system-quickly-then-iterate.mp4 8.28 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/03_setting-up-your-optimization-problem/04_numerical-approximation-of-gradients.mp4 8.32 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/03_train-dev-test-distributions.mp4 8.35 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/01_what-is-face-recognition.mp4 8.41 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/02_satisficing-and-optimizing-metric.mp4 8.47 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/01_what-is-a-neural-network.mp4 8.52 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/09_logistic-regression-gradient-descent.mp4 8.52 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/02_avoidable-bias.mp4 8.69 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/07_parameters-vs-hyperparameters.mp4 8.7 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/08_explanation-of-logistic-regression-cost-function-optional.mp4 8.76 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/10_optional-region-proposals.mp4 8.8 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 8.81 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/02_why-regularization-reduces-overfitting.mp4 8.87 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/04_understanding-dropout.mp4 9 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/03_resnets.mp4 9 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/06_a-note-on-python-numpy-vectors.mp4 9.04 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/01_hyperparameter-tuning/01_tuning-process.mp4 9.04 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/09_yolo-algorithm.mp4 9.07 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/09_learning-rate-decay.mp4 9.33 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/08_adam-optimization-algorithm.mp4 9.41 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/03_vectorizing-logistic-regression.mp4 9.41 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/05_derivatives.mp4 9.53 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/03_shallow-neural-networks/01_shallow-neural-network/05_explanation-for-vectorized-implementation.mp4 9.7 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/01_single-number-evaluation-metric.mp4 9.77 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/11_random-initialization.mp4 9.85 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/03_more-edge-detection.mp4 9.85 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/02_forward-propagation-in-a-deep-network.mp4 9.89 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/05_other-regularization-methods.mp4 9.94 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/10_gradient-descent-on-m-examples.mp4 10.02 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/01_vectorization.mp4 10.05 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/07_non-max-suppression.mp4 10.09 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/07_rmsprop.mp4 10.32 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/08_simple-convolutional-network-example.mp4 10.39 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/03_logistic-regression-cost-function.mp4 10.63 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/02_supervised-learning-with-neural-networks.mp4 10.64 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/05_building-blocks-of-deep-neural-networks.mp4 10.75 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/02_bias-variance.mp4 10.77 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/05_strided-convolutions.mp4 10.98 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/01_binary-classification.mp4 11 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/02_what-are-deep-convnets-learning.mp4 11.26 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/06_1d-and-3d-generalizations.mp4 11.32 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/07_inception-network.mp4 11.37 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/02_transfer-learning.mp4 11.57 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/04_vectorizing-across-multiple-examples.mp4 11.58 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 11.64 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/01_normalizing-activations-in-a-network.mp4 11.81 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/02_regularizing-your-neural-network/01_regularization.mp4 11.9 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/04_why-resnets-work.mp4 11.92 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/04_padding.mp4 11.94 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/06_gradient-descent-with-momentum.mp4 11.95 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/09_pooling-layers.mp4 12.11 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/02_training-a-softmax-classifier.mp4 12.14 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/11_why-convolutions.mp4 12.34 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/03_data-augmentation.mp4 12.43 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/04_vectorizing-logistic-regressions-gradient-output.mp4 12.47 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/04_understanding-exponentially-weighted-averages.mp4 12.49 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/09_gradient-descent-for-neural-networks.mp4 12.63 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/06_inception-network-motivation.mp4 12.65 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/06_convolutions-over-volume.mp4 12.89 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/03_computing-a-neural-networks-output.mp4 13 MB
3. machine-learning-projects/02_ml-strategy-2/02_mismatched-training-and-dev-test-set/03_addressing-data-mismatch.mp4 13.15 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 13.18 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/06_more-derivative-examples.mp4 13.19 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/02_introduction-to-deep-learning/03_why-is-deep-learning-taking-off.mp4 13.22 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/08_anchor-boxes.mp4 13.47 MB
1. neural-networks-deep-learning/02_neural-networks-basics/02_python-and-vectorization/05_broadcasting-in-python.mp4 13.48 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/04_why-deep-representations.mp4 13.69 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/02_edge-detection-example.mp4 13.91 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/04_gradient-descent.mp4 13.94 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/01_carrying-out-error-analysis.mp4 13.96 MB
1. neural-networks-deep-learning/04_deep-neural-networks/01_deep-neural-network/06_forward-and-backward-propagation.mp4 14 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/03_getting-your-matrix-dimensions-right.mp4 14.36 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/01_setting-up-your-machine-learning-application/01_train-dev-test-sets.mp4 14.38 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/02_understanding-mini-batch-gradient-descent.mp4 14.41 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/04_convolutional-implementation-of-sliding-windows.mp4 14.44 MB
3. machine-learning-projects/01_ml-strategy-1/01_introduction-to-ml-strategy/02_orthogonalization.mp4 14.46 MB
3. machine-learning-projects/01_ml-strategy-1/03_comparing-to-human-level-performance/03_understanding-human-level-performance.mp4 14.51 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/06_activation-functions.mp4 14.59 MB
3. machine-learning-projects/01_ml-strategy-1/02_setting-up-your-goal/05_when-to-change-dev-test-sets-and-metrics.mp4 14.71 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/03_multi-class-classification/01_softmax-regression.mp4 14.72 MB
2. deep-neural-network/02_optimization-algorithms/01_optimization-algorithms/01_mini-batch-gradient-descent.mp4 14.92 MB
3. machine-learning-projects/02_ml-strategy-2/04_end-to-end-deep-learning/01_what-is-end-to-end-deep-learning.mp4 14.99 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/01_object-localization.mp4 15.36 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/02_practical-advices-for-using-convnets/04_state-of-computer-vision.mp4 15.47 MB
3. machine-learning-projects/02_ml-strategy-2/03_learning-from-multiple-tasks/01_transfer-learning.mp4 15.55 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/10_cnn-example.mp4 15.91 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/02_neural-style-transfer/05_style-cost-function.mp4 16.36 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/02_batch-normalization/03_why-does-batch-norm-work.mp4 16.47 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 16.63 MB
1. neural-networks-deep-learning/02_neural-networks-basics/01_logistic-regression-as-a-neural-network/08_derivatives-with-a-computation-graph.mp4 18.13 MB
3. machine-learning-projects/02_ml-strategy-2/01_error-analysis/02_cleaning-up-incorrectly-labeled-data.mp4 18.3 MB
3. machine-learning-projects/02_ml-strategy-2/03_learning-from-multiple-tasks/02_multi-task-learning.mp4 18.76 MB
4. convolutional-neural-networks/03_object-detection/01_detection-algorithms/05_bounding-box-predictions.mp4 19.58 MB
4. convolutional-neural-networks/04_special-applications-face-recognition-neural-style-transfer/01_face-recognition/04_triplet-loss.mp4 19.71 MB
4. convolutional-neural-networks/01_foundations-of-convolutional-neural-networks/01_convolutional-neural-networks/07_one-layer-of-a-convolutional-network.mp4 20.06 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/01_shallow-neural-network/10_backpropagation-intuition-optional.mp4 20.31 MB
2. deep-neural-network/03_hyperparameter-tuning-batch-normalization-and-programming-frameworks/04_introduction-to-programming-frameworks/02_tensorflow.mp4 21.34 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 22.74 MB
4. convolutional-neural-networks/02_deep-convolutional-models-case-studies/01_case-studies/02_classic-networks.mp4 22.75 MB
1. neural-networks-deep-learning/03_shallow-neural-networks/03_heroes-of-deep-learning-optional/01_ian-goodfellow-interview.mp4 24.79 MB
2. deep-neural-network/02_optimization-algorithms/03_heroes-of-deep-learning-optional/01_yuanqing-lin-interview.mp4 27.08 MB
1. neural-networks-deep-learning/02_neural-networks-basics/04_heroes-of-deep-learning-optional/01_pieter-abbeel-interview.mp4 35.54 MB
3. machine-learning-projects/01_ml-strategy-1/05_heroes-of-deep-learning-optional/01_andrej-karpathy-interview.mp4 36.55 MB
3. machine-learning-projects/02_ml-strategy-2/05_heroes-of-deep-learning-optional/01_ruslan-salakhutdinov-interview.mp4 44.72 MB
2. deep-neural-network/01_practical-aspects-of-deep-learning/05_heroes-of-deep-learning-optional/01_yoshua-bengio-interview.mp4 55.15 MB
1. neural-networks-deep-learning/01_introduction-to-deep-learning/03_heroes-of-deep-learning-optional/01_geoffrey-hinton-interview.mp4 84.52 MB
其他位置