zero-to-deep-learning-1B3Fp
01-welcome-to-the-course\\/002-real-world-applications-of-deep-learning.mp423.60MB
01-welcome-to-the-course\\/003-download-and-install-anaconda.mp49.94MB
01-welcome-to-the-course\\/004-installation-video-guide.mp445.20MB
01-welcome-to-the-course\\/006-course-folder-walkthrough.mp419.23MB
01-welcome-to-the-course\\/007-your-first-deep-learning-model.mp432.89MB
02-data\\/008-tabular-data.mp411.74MB
02-data\\/009-data-exploration-with-pandas-code-along.mp430.93MB
02-data\\/010-visual-data-exploration.mp49.14MB
02-data\\/011-plotting-with-tplotlib.mp432.84MB
02-data\\/012-unstructured-data.mp411.32MB
02-data\\/013-iges-and-sound-in-jupyter.mp414.01MB
02-data\\/014-feature-engineering.mp45.81MB
02-data\\/015-exercise-1-presentation.mp43.25MB
02-data\\/016-exercise-1-solution.mp49.41MB
02-data\\/017-exercise-2-presentation.mp41.92MB
02-data\\/018-exercise-2-solution.mp413.52MB
02-data\\/019-exercise-3-presentation.mp41.74MB
02-data\\/020-exercise-3-solution.mp47.15MB
02-data\\/021-exercise-4-presentation.mp41.51MB
02-data\\/022-exercise-4-solution.mp44.20MB
02-data\\/023-exercise-5-presentation.mp42.11MB
02-data\\/024-exercise-5-solution.mp47.81MB
03-chine-learning\\/025-machine-learning-problems.mp49.30MB
03-chine-learning\\/026-supervised-learning.mp410.41MB
03-chine-learning\\/027-linear-regression.mp49.77MB
03-chine-learning\\/028-cost-function.mp46.01MB
03-chine-learning\\/029-cost-function-code-along.mp417.89MB
03-chine-learning\\/030-finding-the-best-model.mp45.09MB
03-chine-learning\\/031-linear-regression-code-along.mp439.86MB
03-chine-learning\\/032-evaluating-performance.mp49.03MB
03-chine-learning\\/033-evaluating-performance-code-along.mp410.35MB
03-chine-learning\\/034-classification.mp414.19MB
03-chine-learning\\/035-classification-code-along.mp422.86MB
03-chine-learning\\/036-overfitting.mp49.38MB
03-chine-learning\\/037-cross-validation.mp412.37MB
03-chine-learning\\/038-cross-validation-code-along.mp49.70MB
03-chine-learning\\/039-confusion-matrix.mp411.27MB
03-chine-learning\\/040-confusion-matrix-code-along.mp48.64MB
03-chine-learning\\/041-feature-preprocessing-code-along.mp416.01MB
03-chine-learning\\/042-exercise-1-presentation.mp46.45MB
03-chine-learning\\/043-exercise-1-solution.mp437.31MB
03-chine-learning\\/044-exercise-2-presentation.mp47.39MB
03-chine-learning\\/045-exercise-2-solution.mp443.20MB
04-deep-learning-intro\\/046-deep-learning-successes.mp410.14MB
04-deep-learning-intro\\/047-neural-networks.mp49.90MB
04-deep-learning-intro\\/048-deeper-networks.mp48.47MB
04-deep-learning-intro\\/049-neural-networks-code-along.mp421.10MB
04-deep-learning-intro\\/050-multiple-outputs.mp410.31MB
04-deep-learning-intro\\/051-multiclass-classification-code-along.mp433.93MB
04-deep-learning-intro\\/052-activation-functions.mp48.50MB
04-deep-learning-intro\\/053-feed-forward.mp49.98MB
04-deep-learning-intro\\/054-exercise-1-presentation.mp44.74MB
04-deep-learning-intro\\/055-exercise-1-solution.mp424.77MB
04-deep-learning-intro\\/056-exercise-2-presentation.mp43.02MB
04-deep-learning-intro\\/057-exercise-2-solution.mp425.19MB
04-deep-learning-intro\\/058-exercise-3-presentation.mp42.82MB
04-deep-learning-intro\\/059-exercise-3-solution.mp420.60MB
04-deep-learning-intro\\/060-exercise-4-presentation.mp41.93MB
04-deep-learning-intro\\/061-exercise-4-solution.mp413.59MB
05-gradient-descent\\/062-derivatives-and-gradient.mp410.46MB
05-gradient-descent\\/063-backpropagation-intuition.mp47.21MB
05-gradient-descent\\/0-chain-rule.mp412.45MB
05-gradient-descent\\/065-derivative-calculation.mp47.19MB
05-gradient-descent\\/066-fully-connected-backpropagation.mp412.49MB
05-gradient-descent\\/067-trix-notation.mp48.56MB
05-gradient-descent\\/068-numpy-arrays-code-along.mp419.42MB
05-gradient-descent\\/069-learning-rate.mp43.67MB
05-gradient-descent\\/070-learning-rate-code-along.mp433.16MB
05-gradient-descent\\/071-gradient-descent.mp46.41MB
05-gradient-descent\\/072-gradient-descent-code-along.mp413.19MB
05-gradient-descent\\/073-ew.mp47.36MB
05-gradient-descent\\/074-optimizers.mp49.17MB
05-gradient-descent\\/075-optimizers-code-along.mp410.68MB
05-gradient-descent\\/076-initialization-code-along.mp413.35MB
05-gradient-descent\\/077-inner-la<x>yers-visualization-code-along.mp432.28MB
05-gradient-descent\\/078-exercise-1-presentation.mp43.52MB
05-gradient-descent\\/079-exercise-1-solution.mp417.85MB
05-gradient-descent\\/080-exercise-2-presentation.mp42.43MB
05-gradient-descent\\/081-exercise-2-solution.mp411.01MB
05-gradient-descent\\/082-exercise-3-presentation.mp42.94MB
05-gradient-descent\\/083-exercise-3-solution.mp412.55MB
05-gradient-descent\\/084-exercise-4-presentation.mp43.69MB
05-gradient-descent\\/085-exercise-4-solution.mp411.15MB
05-gradient-descent\\/086-tensorboard.mp48.28MB
06-convolutional-neural-networks\\/087-features-from-pixels.mp47.95MB
06-convolutional-neural-networks\\/088-mnist-classification.mp43.94MB
06-convolutional-neural-networks\\/089-mnist-classification-code-along.mp419.62MB
06-convolutional-neural-networks\\/090-beyond-pixels.mp47.33MB
06-convolutional-neural-networks\\/091-iges-as-tensors.mp410.39MB
06-convolutional-neural-networks\\/092-tensor-th-code-along.mp417.18MB
06-convolutional-neural-networks\\/093-convolution-in-1-d.mp46.62MB
06-convolutional-neural-networks\\/094-convolution-in-1-d-code-along.mp45.14MB
06-convolutional-neural-networks\\/095-convolution-in-2-d.mp46.66MB
06-convolutional-neural-networks\\/096-ige-filters-code-along.mp46.40MB
06-convolutional-neural-networks\\/097-convolutional-la<x>yers.mp412.31MB
06-convolutional-neural-networks\\/098-convolutional-la<x>yers-code-along.mp414.40MB
06-convolutional-neural-networks\\/099-pooling-la<x>yers.mp43.05MB
06-convolutional-neural-networks\\/100-pooling-la<x>yers-code-along.mp45.26MB
06-convolutional-neural-networks\\/101-convolutional-neural-networks.mp44.50MB
06-convolutional-neural-networks\\/102-convolutional-neural-networks-code-along.mp413.96MB
06-convolutional-neural-networks\\/103-weights-in-cnns.mp45.22MB
06-convolutional-neural-networks\\/104-beyond-iges.mp45.26MB
06-convolutional-neural-networks\\/105-exercise-1-solution.mp412.86MB
06-convolutional-neural-networks\\/106-exercise-2-solution.mp410.71MB
08-recurrent-neural-networks\\/108-time-series.mp410.43MB
08-recurrent-neural-networks\\/109-sequence-problems.mp48.75MB
08-recurrent-neural-networks\\/111-vanilla-rnn.mp45.63MB
08-recurrent-neural-networks\\/112-lstm-and-gru.mp411.46MB
08-recurrent-neural-networks\\/113-time-series-forecasting-code-along.mp416.13MB
08-recurrent-neural-networks\\/-time-series-forecasting-with-lstm-code-along.mp49.44MB
08-recurrent-neural-networks\\/115-rolling-windows.mp45.08MB
08-recurrent-neural-networks\\/116-rolling-windows-code-along.mp421.12MB
08-recurrent-neural-networks\\/117-exercise-1-solution.mp47.94MB
09-improving-perfornce\\/119-learning-curves.mp45.46MB
09-improving-perfornce\\/120-learning-curves-code-along.mp418.93MB
09-improving-perfornce\\/121-batch-normalization.mp43.82MB
09-improving-perfornce\\/122-batch-normalization-code-along.mp415.00MB
09-improving-perfornce\\/123-dropout.mp45.96MB
09-improving-perfornce\\/124-dropout-and-regularization-code-along.mp46.28MB
09-improving-perfornce\\/125-data-augmentation.mp46.07MB
09-improving-perfornce\\/126-continuous-learning.mp44.83MB
09-improving-perfornce\\/127-image-generator-code-along.mp415.32MB
09-improving-perfornce\\/128-hyperparameter-search.mp47.14MB
09-improving-perfornce\\/129-em<x>beddings.mp46.55MB
09-improving-perfornce\\/130-em<x>beddings-code-along.mp45.72MB
09-improving-perfornce\\/131-movies-reviews-sentiment-ysis-code-along.mp426.72MB
- CreateTime2021-08-24
- UpdateTime2021-09-04
- FileTotalCount135
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