Zero to Deep Learning with Python and Keras | 19978B43437D7D495252E3B402469177F97249C7

Zero to Deep Learning with Python and Keras

Name	Zero to Deep Learning - with Python and Keras	DOWNLOAD Copy Link
Total Size	1.6 GB
Total Files	138
Hash	19978B43437D7D495252E3B402469177F97249C7

/01-welcome-to-the-course/
github link.txt	0.1 KB
001-introduction.html	1.0 KB
005-obtain-the-code-for-the-course.html	1.5 KB
003-download-and-install-anaconda.mp4	10.4 MB
006-course-folder-walkthrough.mp4	20.2 MB
002-real-world-applications-of-deep-learning.mp4	24.7 MB
007-your-first-deep-learning-model.mp4	34.5 MB
004-installation-video-guide.mp4	47.4 MB
/
[FreeTutorials.Us].txt	0.1 KB
Freetutorials.Us.url	0.1 KB
FreeTutorials.Us-zero-to-deep-learning.torrent	42.5 KB
Capture.JPG	97.6 KB
/08-recurrent-neural-networks/
110-vanishing-gradients.html	0.3 KB
118-exercise-2-solution.html	0.3 KB
115-rolling-windows.mp4	5.3 MB
111-vanilla-rnn.mp4	5.9 MB
117-exercise-1-solution.mp4	8.3 MB
109-sequence-problems.mp4	9.2 MB
114-time-series-forecasting-with-lstm-code-along.mp4	9.9 MB
108-time-series.mp4	10.9 MB
112-lstm-and-gru.mp4	12.0 MB
113-time-series-forecasting-code-along.mp4	16.9 MB
116-rolling-windows-code-along.mp4	22.1 MB
/09-improving-performance/
132-exercise-1-solution.html	0.3 KB
133-exercise-2-solution.html	0.3 KB
121-batch-normalization.mp4	4.0 MB
126-continuous-learning.mp4	5.1 MB
119-learning-curves.mp4	5.7 MB
130-embeddings-code-along.mp4	6.0 MB
123-dropout.mp4	6.2 MB
125-data-augmentation.mp4	6.4 MB
124-dropout-and-regularization-code-along.mp4	6.6 MB
129-embeddings.mp4	6.9 MB
128-hyperparameter-search.mp4	7.5 MB
122-batch-normalization-code-along.mp4	15.7 MB
127-image-generator-code-along.mp4	16.1 MB
120-learning-curves-code-along.mp4	19.8 MB
131-movies-reviews-sentiment-analysis-code-along.mp4	28.0 MB
/07-cloud-gpus/
107-floyd-gpu-notebook-setup.html	2.7 KB
/02-data/
021-exercise-4-presentation.mp4	1.6 MB
019-exercise-3-presentation.mp4	1.8 MB
017-exercise-2-presentation.mp4	2.0 MB
023-exercise-5-presentation.mp4	2.2 MB
015-exercise-1-presentation.mp4	3.4 MB
022-exercise-4-solution.mp4	4.4 MB
014-feature-engineering.mp4	6.1 MB
020-exercise-3-solution.mp4	7.5 MB
024-exercise-5-solution.mp4	8.2 MB
010-visual-data-exploration.mp4	9.6 MB
016-exercise-1-solution.mp4	9.9 MB
012-unstructured-data.mp4	11.9 MB
008-tabular-data.mp4	12.3 MB
018-exercise-2-solution.mp4	14.2 MB
013-images-and-sound-in-jupyter.mp4	14.7 MB
009-data-exploration-with-pandas-code-along.mp4	32.4 MB
011-plotting-with-matplotlib.mp4	34.4 MB
/04-deep-learning-intro/
060-exercise-4-presentation.mp4	2.0 MB
058-exercise-3-presentation.mp4	3.0 MB
056-exercise-2-presentation.mp4	3.2 MB
054-exercise-1-presentation.mp4	5.0 MB
048-deeper-networks.mp4	8.9 MB
052-activation-functions.mp4	8.9 MB
047-neural-networks.mp4	10.4 MB
053-feed-forward.mp4	10.5 MB
046-deep-learning-successes.mp4	10.6 MB
050-multiple-outputs.mp4	10.8 MB
061-exercise-4-solution.mp4	14.2 MB
059-exercise-3-solution.mp4	21.6 MB
049-neural-networks-code-along.mp4	22.1 MB
055-exercise-1-solution.mp4	26.0 MB
057-exercise-2-solution.mp4	26.4 MB
051-multiclass-classification-code-along.mp4	35.6 MB
/05-gradient-descent/
080-exercise-2-presentation.mp4	2.5 MB
082-exercise-3-presentation.mp4	3.1 MB
078-exercise-1-presentation.mp4	3.7 MB
069-learning-rate.mp4	3.8 MB
084-exercise-4-presentation.mp4	3.9 MB
071-gradient-descent.mp4	6.7 MB
065-derivative-calculation.mp4	7.5 MB
063-backpropagation-intuition.mp4	7.6 MB
073-ewma.mp4	7.7 MB
086-tensorboard.mp4	8.7 MB
067-matrix-notation.mp4	9.0 MB
074-optimizers.mp4	9.6 MB
062-derivatives-and-gradient.mp4	11.0 MB
075-optimizers-code-along.mp4	11.2 MB
081-exercise-2-solution.mp4	11.5 MB
085-exercise-4-solution.mp4	11.7 MB
064-chain-rule.mp4	13.1 MB
066-fully-connected-backpropagation.mp4	13.1 MB
083-exercise-3-solution.mp4	13.2 MB
072-gradient-descent-code-along.mp4	13.8 MB
076-initialization-code-along.mp4	14.0 MB
079-exercise-1-solution.mp4	18.7 MB
068-numpy-arrays-code-along.mp4	20.4 MB
077-inner-layers-visualization-code-along.mp4	33.8 MB
070-learning-rate-code-along.mp4	34.8 MB
/06-convolutional-neural-networks/
099-pooling-layers.mp4	3.2 MB
088-mnist-classification.mp4	4.1 MB
101-convolutional-neural-networks.mp4	4.7 MB
094-convolution-in-1-d-code-along.mp4	5.4 MB
103-weights-in-cnns.mp4	5.5 MB
104-beyond-images.mp4	5.5 MB
100-pooling-layers-code-along.mp4	5.5 MB
096-image-filters-code-along.mp4	6.7 MB
093-convolution-in-1-d.mp4	6.9 MB
095-convolution-in-2-d.mp4	7.0 MB
090-beyond-pixels.mp4	7.7 MB
087-features-from-pixels.mp4	8.3 MB
091-images-as-tensors.mp4	10.9 MB
106-exercise-2-solution.mp4	11.2 MB
097-convolutional-layers.mp4	12.9 MB
105-exercise-1-solution.mp4	13.5 MB
102-convolutional-neural-networks-code-along.mp4	14.6 MB
098-convolutional-layers-code-along.mp4	15.1 MB
092-tensor-math-code-along.mp4	18.0 MB
089-mnist-classification-code-along.mp4	20.6 MB
/03-machine-learning/
030-finding-the-best-model.mp4	5.3 MB
028-cost-function.mp4	6.3 MB
042-exercise-1-presentation.mp4	6.8 MB
044-exercise-2-presentation.mp4	7.8 MB
040-confusion-matrix-code-along.mp4	9.1 MB
032-evaluating-performance.mp4	9.5 MB
025-machine-learning-problems.mp4	9.7 MB
036-overfitting.mp4	9.8 MB
038-cross-validation-code-along.mp4	10.2 MB
027-linear-regression.mp4	10.2 MB
033-evaluating-performance-code-along.mp4	10.9 MB
026-supervised-learning.mp4	10.9 MB
039-confusion-matrix.mp4	11.8 MB
037-cross-validation.mp4	13.0 MB
034-classification.mp4	14.9 MB
041-feature-preprocessing-code-along.mp4	16.8 MB
029-cost-function-code-along.mp4	18.8 MB
035-classification-code-along.mp4	24.0 MB
043-exercise-1-solution.mp4	39.1 MB
031-linear-regression-code-along.mp4	41.8 MB
045-exercise-2-solution.mp4	45.3 MB
Total files 138