种子简介

种子名称： [FreeCourseSite.com] Udemy - Zero to Deep Learning™ with Python and Keras
文件类型： 视频
文件数目： 126个文件
文件大小： 1.47 GB
收录时间： 2019-4-18 04:05
已经下载： 3次
资源热度： 77
最近下载： 2024-6-17 22:05

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:54adee2afdffeb746ca58fe33bb278740cf9ccbe&dn=[FreeCourseSite.com] Udemy - Zero to Deep Learning™ with Python and Keras 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseSite.com] Udemy - Zero to Deep Learning™ with Python and Keras.torrent

01-welcome-to-the-course/002-real-world-applications-of-deep-learning.mp423.6MB

01-welcome-to-the-course/003-download-and-install-anaconda.mp49.94MB

01-welcome-to-the-course/004-installation-video-guide.mp445.2MB

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-matplotlib.mp432.84MB

02-data/012-unstructured-data.mp411.32MB

02-data/013-images-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.mp44.2MB

02-data/023-exercise-5-presentation.mp42.11MB

02-data/024-exercise-5-solution.mp47.81MB

03-machine-learning/025-machine-learning-problems.mp49.3MB

03-machine-learning/026-supervised-learning.mp410.41MB

03-machine-learning/027-linear-regression.mp49.77MB

03-machine-learning/028-cost-function.mp46.01MB

03-machine-learning/029-cost-function-code-along.mp417.89MB

03-machine-learning/030-finding-the-best-model.mp45.09MB

03-machine-learning/031-linear-regression-code-along.mp439.86MB

03-machine-learning/032-evaluating-performance.mp49.03MB

03-machine-learning/033-evaluating-performance-code-along.mp410.35MB

03-machine-learning/034-classification.mp414.19MB

03-machine-learning/035-classification-code-along.mp422.86MB

03-machine-learning/036-overfitting.mp49.38MB

03-machine-learning/037-cross-validation.mp412.37MB

03-machine-learning/038-cross-validation-code-along.mp49.7MB

03-machine-learning/039-confusion-matrix.mp411.27MB

03-machine-learning/040-confusion-matrix-code-along.mp48.64MB

03-machine-learning/041-feature-preprocessing-code-along.mp416.01MB

03-machine-learning/042-exercise-1-presentation.mp46.45MB

03-machine-learning/043-exercise-1-solution.mp437.31MB

03-machine-learning/044-exercise-2-presentation.mp47.39MB

03-machine-learning/045-exercise-2-solution.mp443.2MB

04-deep-learning-intro/046-deep-learning-successes.mp410.14MB

04-deep-learning-intro/047-neural-networks.mp49.9MB

04-deep-learning-intro/048-deeper-networks.mp48.47MB

04-deep-learning-intro/049-neural-networks-code-along.mp421.1MB

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.mp48.5MB

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.mp420.6MB

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/064-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-matrix-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-ewma.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-layers-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-images-as-tensors.mp410.39MB

06-convolutional-neural-networks/092-tensor-math-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-image-filters-code-along.mp46.4MB

06-convolutional-neural-networks/097-convolutional-layers.mp412.31MB

06-convolutional-neural-networks/098-convolutional-layers-code-along.mp414.4MB

06-convolutional-neural-networks/099-pooling-layers.mp43.05MB

06-convolutional-neural-networks/100-pooling-layers-code-along.mp45.26MB

06-convolutional-neural-networks/101-convolutional-neural-networks.mp44.5MB

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-images.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/114-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-performance/119-learning-curves.mp45.46MB

09-improving-performance/120-learning-curves-code-along.mp418.93MB

09-improving-performance/121-batch-normalization.mp43.82MB

09-improving-performance/122-batch-normalization-code-along.mp415MB

09-improving-performance/123-dropout.mp45.96MB

09-improving-performance/124-dropout-and-regularization-code-along.mp46.28MB

09-improving-performance/125-data-augmentation.mp46.07MB

09-improving-performance/126-continuous-learning.mp44.83MB

09-improving-performance/127-image-generator-code-along.mp415.32MB

09-improving-performance/128-hyperparameter-search.mp47.14MB

09-improving-performance/129-embeddings.mp46.55MB

09-improving-performance/130-embeddings-code-along.mp45.72MB

09-improving-performance/131-movies-reviews-sentiment-analysis-code-along.mp426.72MB