https://github.com/dn070017/deep-learning-exercise

Jupyter notebook, scripts, figures and interactive webpage for the notes of data science
https://github.com/dn070017/deep-learning-exercise

bokeh data-science deep-learning jupyter-notebook machine-learning

Last synced: 25 days ago
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Jupyter notebook, scripts, figures and interactive webpage for the notes of data science

• Host: GitHub
• URL: https://github.com/dn070017/deep-learning-exercise
• Owner: dn070017
• Created: 2019-12-16T08:41:09.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-04T06:51:10.000Z (over 4 years ago)
• Last Synced: 2024-11-14T04:28:33.598Z (3 months ago)
• Topics: bokeh, data-science, deep-learning, jupyter-notebook, machine-learning
• Language: Jupyter Notebook
• Homepage: https://hackmd.io/@Xg9_wrttQju8FXRCNT-Baw
• Size: 9.17 MB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data Science Notes Figures

## Introduction

This repository contains the jupyter notebook, scripts, figures and interactive webpage for the notes of data science. Please contact me if the content posted here is incorrect. 

## View Animation

To view the animation, please use the following command:

```

bokeh serve --show [animation.py]

```

## Content

### Linear Algebra

* [Notebooks](./linear_algebra/linear_algebra.ipynb)

### Gradient Descent

* [Notebooks](./gradient_descent/gradient_descent.ipynb)

### Multilayer Perceptron

* [Notes](https://hackmd.io/gVLoBUVJREWVS4DKr_2aHw)

### Activation Functions

* [Notes](https://hackmd.io/WmT0WUXaRfG4KDs1VBvNrw)

* [Notebooks](./activation_functions/activation_functions.ipynb)

### Objective Functions

* [Notes](https://hackmd.io/0velDqCbQYyYYO8nR4Sjwg)

* [Notebooks](./objective_functions/objective_functions.ipynb)

### Optimizers

* [Notes](https://hackmd.io/BWyACMxfTLyJhVVWh-G24A)

* [Notebooks](./optimizers/optimizers.ipynb)

* [Animation Scripts](./optimizers/optimizers_animation.py)