[] Udemy - Zero to Deep Learning™ with Python and Keras 收录时间:2019-06-19 08:41:06 文件大小:1GB 下载次数:55 最近下载:2021-01-08 11:04:07 磁力链接: magnet:?xt=urn:btih:54adee2afdffeb746ca58fe33bb278740cf9ccbe 立即下载 复制链接 文件列表 01-welcome-to-the-course/004-installation-video-guide.mp4 45MB 03-machine-learning/045-exercise-2-solution.mp4 43MB 03-machine-learning/031-linear-regression-code-along.mp4 40MB 03-machine-learning/043-exercise-1-solution.mp4 37MB 04-deep-learning-intro/051-multiclass-classification-code-along.mp4 34MB 05-gradient-descent/070-learning-rate-code-along.mp4 33MB 01-welcome-to-the-course/007-your-first-deep-learning-model.mp4 33MB 02-data/011-plotting-with-matplotlib.mp4 33MB 05-gradient-descent/077-inner-layers-visualization-code-along.mp4 32MB 02-data/009-data-exploration-with-pandas-code-along.mp4 31MB 09-improving-performance/131-movies-reviews-sentiment-analysis-code-along.mp4 27MB 04-deep-learning-intro/057-exercise-2-solution.mp4 25MB 04-deep-learning-intro/055-exercise-1-solution.mp4 25MB 01-welcome-to-the-course/002-real-world-applications-of-deep-learning.mp4 24MB 03-machine-learning/035-classification-code-along.mp4 23MB 08-recurrent-neural-networks/116-rolling-windows-code-along.mp4 21MB 04-deep-learning-intro/049-neural-networks-code-along.mp4 21MB 04-deep-learning-intro/059-exercise-3-solution.mp4 21MB 06-convolutional-neural-networks/089-mnist-classification-code-along.mp4 20MB 05-gradient-descent/068-numpy-arrays-code-along.mp4 19MB 01-welcome-to-the-course/006-course-folder-walkthrough.mp4 19MB 09-improving-performance/120-learning-curves-code-along.mp4 19MB 03-machine-learning/029-cost-function-code-along.mp4 18MB 05-gradient-descent/079-exercise-1-solution.mp4 18MB 06-convolutional-neural-networks/092-tensor-math-code-along.mp4 17MB 08-recurrent-neural-networks/113-time-series-forecasting-code-along.mp4 16MB 03-machine-learning/041-feature-preprocessing-code-along.mp4 16MB 09-improving-performance/127-image-generator-code-along.mp4 15MB 09-improving-performance/122-batch-normalization-code-along.mp4 15MB 06-convolutional-neural-networks/098-convolutional-layers-code-along.mp4 14MB 03-machine-learning/034-classification.mp4 14MB 02-data/013-images-and-sound-in-jupyter.mp4 14MB 06-convolutional-neural-networks/102-convolutional-neural-networks-code-along.mp4 14MB 04-deep-learning-intro/061-exercise-4-solution.mp4 14MB 02-data/018-exercise-2-solution.mp4 14MB 05-gradient-descent/076-initialization-code-along.mp4 13MB 05-gradient-descent/072-gradient-descent-code-along.mp4 13MB 06-convolutional-neural-networks/105-exercise-1-solution.mp4 13MB 05-gradient-descent/083-exercise-3-solution.mp4 13MB 05-gradient-descent/066-fully-connected-backpropagation.mp4 12MB 05-gradient-descent/064-chain-rule.mp4 12MB 03-machine-learning/037-cross-validation.mp4 12MB 06-convolutional-neural-networks/097-convolutional-layers.mp4 12MB 02-data/008-tabular-data.mp4 12MB 08-recurrent-neural-networks/112-lstm-and-gru.mp4 11MB 02-data/012-unstructured-data.mp4 11MB 03-machine-learning/039-confusion-matrix.mp4 11MB 05-gradient-descent/085-exercise-4-solution.mp4 11MB 05-gradient-descent/081-exercise-2-solution.mp4 11MB 06-convolutional-neural-networks/106-exercise-2-solution.mp4 11MB 05-gradient-descent/075-optimizers-code-along.mp4 11MB 05-gradient-descent/062-derivatives-and-gradient.mp4 10MB 08-recurrent-neural-networks/108-time-series.mp4 10MB 03-machine-learning/026-supervised-learning.mp4 10MB 06-convolutional-neural-networks/091-images-as-tensors.mp4 10MB 03-machine-learning/033-evaluating-performance-code-along.mp4 10MB 04-deep-learning-intro/050-multiple-outputs.mp4 10MB 04-deep-learning-intro/046-deep-learning-successes.mp4 10MB 04-deep-learning-intro/053-feed-forward.mp4 10MB 01-welcome-to-the-course/003-download-and-install-anaconda.mp4 10MB 04-deep-learning-intro/047-neural-networks.mp4 10MB 03-machine-learning/027-linear-regression.mp4 10MB 03-machine-learning/038-cross-validation-code-along.mp4 10MB 08-recurrent-neural-networks/114-time-series-forecasting-with-lstm-code-along.mp4 9MB 02-data/016-exercise-1-solution.mp4 9MB 03-machine-learning/036-overfitting.mp4 9MB 03-machine-learning/025-machine-learning-problems.mp4 9MB 05-gradient-descent/074-optimizers.mp4 9MB 02-data/010-visual-data-exploration.mp4 9MB 03-machine-learning/032-evaluating-performance.mp4 9MB 08-recurrent-neural-networks/109-sequence-problems.mp4 9MB 03-machine-learning/040-confusion-matrix-code-along.mp4 9MB 05-gradient-descent/067-matrix-notation.mp4 9MB 04-deep-learning-intro/052-activation-functions.mp4 9MB 04-deep-learning-intro/048-deeper-networks.mp4 8MB 05-gradient-descent/086-tensorboard.mp4 8MB 06-convolutional-neural-networks/087-features-from-pixels.mp4 8MB 08-recurrent-neural-networks/117-exercise-1-solution.mp4 8MB 02-data/024-exercise-5-solution.mp4 8MB 03-machine-learning/044-exercise-2-presentation.mp4 7MB 05-gradient-descent/073-ewma.mp4 7MB 06-convolutional-neural-networks/090-beyond-pixels.mp4 7MB 05-gradient-descent/063-backpropagation-intuition.mp4 7MB 05-gradient-descent/065-derivative-calculation.mp4 7MB 02-data/020-exercise-3-solution.mp4 7MB 09-improving-performance/128-hyperparameter-search.mp4 7MB 06-convolutional-neural-networks/095-convolution-in-2-d.mp4 7MB 06-convolutional-neural-networks/093-convolution-in-1-d.mp4 7MB 09-improving-performance/129-embeddings.mp4 7MB 03-machine-learning/042-exercise-1-presentation.mp4 6MB 05-gradient-descent/071-gradient-descent.mp4 6MB 06-convolutional-neural-networks/096-image-filters-code-along.mp4 6MB 09-improving-performance/124-dropout-and-regularization-code-along.mp4 6MB 09-improving-performance/125-data-augmentation.mp4 6MB 03-machine-learning/028-cost-function.mp4 6MB 09-improving-performance/123-dropout.mp4 6MB 02-data/014-feature-engineering.mp4 6MB 09-improving-performance/130-embeddings-code-along.mp4 6MB 08-recurrent-neural-networks/111-vanilla-rnn.mp4 6MB 09-improving-performance/119-learning-curves.mp4 5MB 06-convolutional-neural-networks/100-pooling-layers-code-along.mp4 5MB 06-convolutional-neural-networks/104-beyond-images.mp4 5MB 06-convolutional-neural-networks/103-weights-in-cnns.mp4 5MB 06-convolutional-neural-networks/094-convolution-in-1-d-code-along.mp4 5MB 03-machine-learning/030-finding-the-best-model.mp4 5MB 08-recurrent-neural-networks/115-rolling-windows.mp4 5MB 09-improving-performance/126-continuous-learning.mp4 5MB 04-deep-learning-intro/054-exercise-1-presentation.mp4 5MB 06-convolutional-neural-networks/101-convolutional-neural-networks.mp4 4MB 02-data/022-exercise-4-solution.mp4 4MB 06-convolutional-neural-networks/088-mnist-classification.mp4 4MB 09-improving-performance/121-batch-normalization.mp4 4MB 05-gradient-descent/084-exercise-4-presentation.mp4 4MB 05-gradient-descent/069-learning-rate.mp4 4MB 05-gradient-descent/078-exercise-1-presentation.mp4 4MB 02-data/015-exercise-1-presentation.mp4 3MB 06-convolutional-neural-networks/099-pooling-layers.mp4 3MB 04-deep-learning-intro/056-exercise-2-presentation.mp4 3MB 05-gradient-descent/082-exercise-3-presentation.mp4 3MB 04-deep-learning-intro/058-exercise-3-presentation.mp4 3MB 05-gradient-descent/080-exercise-2-presentation.mp4 2MB 02-data/023-exercise-5-presentation.mp4 2MB 04-deep-learning-intro/060-exercise-4-presentation.mp4 2MB 02-data/017-exercise-2-presentation.mp4 2MB 02-data/019-exercise-3-presentation.mp4 2MB 02-data/021-exercise-4-presentation.mp4 2MB 07-cloud-gpus/107-floyd-gpu-notebook-setup.html 3KB 01-welcome-to-the-course/005-obtain-the-code-for-the-course.html 1KB 01-welcome-to-the-course/001-introduction.html 1KB 08-recurrent-neural-networks/110-vanishing-gradients.html 331B 08-recurrent-neural-networks/118-exercise-2-solution.html 331B 09-improving-performance/132-exercise-1-solution.html 331B 09-improving-performance/133-exercise-2-solution.html 331B [FCS Forum].url 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