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https://github.com/g-eoj/deep-learning-notebooks

Collection of notebooks I made on deep learning topics.
https://github.com/g-eoj/deep-learning-notebooks

adam adamax backpropagation convolutional-neural-network cs231n dropout math notebook sgd visualization

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Collection of notebooks I made on deep learning topics.

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# Deep Learning Notebooks

Collection of notebooks I made on deep learning topics. Most of the notebooks look and work the best on
[nbviewer](https://nbviewer.jupyter.org/), however nbviewer doesn't support interactivity.

#### nbviewer links:
- [cs231n Two-Layer Backprop Mathematics Example](https://nbviewer.jupyter.org/github/g-eoj/deep-learning-notebooks/blob/master/cs231n-two-layer-backprop-math.ipynb)
(based on Stanford CS231n Spring 2017 [Assignment 1](http://cs231n.github.io/assignments2017/assignment1/) Q4)
- [Dropout Visualization for 2D Convolution Layers](https://nbviewer.jupyter.org/github/g-eoj/deep-learning-notebooks/blob/master/2d-conv-dropout-visualization.ipynb)
- [Dropout Proportion z-Tests](https://nbviewer.jupyter.org/github/g-eoj/deep-learning-notebooks/blob/master/dropout-proportion-z-tests.ipynb)
- [SGD Update Visualization for Single Parameter](https://nbviewer.jupyter.org/github/g-eoj/deep-learning-notebooks/blob/master/sgd-update-visualization.ipynb)
(interactivity not available on nbviewer)
- [Optimizer Comparison Visualization for Single Parameter](https://nbviewer.jupyter.org/github/g-eoj/deep-learning-notebooks/blob/master/optimizer-compare-visualization.ipynb)
(interactivity not available on nbviewer)