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Title: GitHub - bmarroc/deep-learning: Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow

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Description: Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow - GitHub - bmarroc/deep-learning: Jupyter notebooks implementing Deep Learning algorithms in Keras and Tensorflow

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https://patch-diff.githubusercontent.com/bmarroc/deep-learning#deep-learning
https://patch-diff.githubusercontent.com/bmarroc/deep-learning#table-of-contents
1 - Logistic Regression with a Neural Networkhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/1/dl_1.ipynb
2 - Planar Data Classification with a Neural Networkhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/2/dl_2.ipynb
3 - Deep Neural Networks: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/3/dl_3.ipynb
4 - Building your Deep Neural Network: Step by Stephttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/4/dl_4.ipynb
5 - Initializationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/5/dl_5.ipynb
6 - Regularization and Dropouthttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/6/dl_6.ipynb
7 - Optimization Methodshttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/7/dl_7.ipynb
8 - Multi-Class Classification with a Neural Networkhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/8/dl_8.ipynb
9 - Convolutional Neural Networks: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/9/dl_9.ipynb
10 - Building your Convolutional Neural Network: Step by Stephttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/10/dl_10.ipynb
11 - CNN Visualizationhttps://github.com/bmarroc/deep-learning/blob/94fd30c396c41b726c4b6803b8b3f88b5a931646/11/dl_11.ipynb
12 - Data Augmentationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/12/dl_12.ipynb
13 - Transfer Learninghttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/13/dl_13.ipynb
14 - Fully Convolutional Networkshttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/14/dl_14.ipynb
15 - Batch Normalization: Emotion Detectionhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/15/dl_15.ipynb
16 - Residual Networkshttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/16/dl_16.ipynb
17 - Siamese Network: Face Recognitionhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/17/dl_17.ipynb
18 - Neural Style Transferhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/18/dl_18.ipynb
19 - Recurrent Neural Networks: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/19/dl_19.ipynb
20 - Building your Recurrent Neural Network: Step by Stephttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/20/dl_20.ipynb
21 - LSTM: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/21/dl_21.ipynb
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23 - Embeddings: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/23/dl_23.ipynb
24 - Bidirectional LSTM: Applicationhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/24/dl_24.ipynb
25 - Trigger Word Detection with a Sequential Modelhttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/25/dl_25.ipynb
26 - Time Series Forecastinghttps://github.com/bmarroc/deep-learning/blob/bdb5dc360bb574f585677830b37a944bcce1fb89/26/dl_26.ipynb
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