cs501r_f2018:lab1
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cs501r_f2018:lab1 [2018/09/03 21:25] wingated |
cs501r_f2018:lab1 [2021/06/30 23:42] (current) |
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| ====Objective:==== | ====Objective:==== | ||
| - | Get started with colab, python, and pandas. Begin producing simple visualizations of data and images. | + | Get started with colab and python. Begin producing simple visualizations of data and images. |
| ---- | ---- | ||
| ====Deliverable:==== | ====Deliverable:==== | ||
| - | For this lab, you will submit an ipython notebook via colab. This notebook will have two parts: | + | For this lab, you will submit an ipython notebook via learningsuite. This notebook will have two parts: |
| **Part 1:** Your notebook should generate a random image. We will run this | **Part 1:** Your notebook should generate a random image. We will run this | ||
| Line 22: | Line 22: | ||
| [[http://colab.research.google.com/|Google colab]] | [[http://colab.research.google.com/|Google colab]] | ||
| + | [[https://colab.research.google.com/drive/1TzaPS3jvRadN-URLbQ9nD1ZNoZktfNRy|A colab notebook teaching you how to use colab notebooks]] | ||
| + | |||
| + | [[https://sites.google.com/site/artml2018/tutorials|Various colab tutorials]] | ||
| ---- | ---- | ||
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| type, such as random lines, and can be created in a loop). We won't | type, such as random lines, and can be created in a loop). We won't | ||
| count the number of elements; this is just to encourage you to create | count the number of elements; this is just to encourage you to create | ||
| - | random images with moderate complexity. | + | random images with moderate complexity (ie, you can't just generate randomly colored pixels, as in the example below). |
| For part 2, you should visit the Tensorflow playground (see link above), and play with different settings. Most of it will be unfamiliar, but don't worry -- you can't break it! | For part 2, you should visit the Tensorflow playground (see link above), and play with different settings. Most of it will be unfamiliar, but don't worry -- you can't break it! | ||
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| ---- | ---- | ||
| - | ====Installing anaconda:==== | + | ====Starter code:==== |
| Here's some starter code to help you generate an image. The ''nbimage'' function will display the image inline in the notebook: | Here's some starter code to help you generate an image. The ''nbimage'' function will display the image inline in the notebook: | ||
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| import IPython.display | import IPython.display | ||
| import PIL.Image | import PIL.Image | ||
| - | import numpy | + | import numpy as np |
| # A simple function to display an image in an ipython notebook | # A simple function to display an image in an ipython notebook | ||
| def nbimage( data ): | def nbimage( data ): | ||
| - | IPython.display.display(PIL.Image.fromarray(data) | + | IPython.display.display(PIL.Image.fromarray(data)) |
cs501r_f2018/lab1.1536009919.txt.gz ยท Last modified: 2021/06/30 23:40 (external edit)
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