Writer should have prior knowledge in python programming language and machine learning: specifically variational autoencoders (VAE).
Writer should review the google-colab site: https://colab.research.google.com/drive/1_yGmk8ahWhDs23U4mpplBFa-39fsEJoT?usp=sharing
Spend time understanding the article and EXPERIMENT with the code.
The article should be written INFORMALLY. No basic definitions is necessary in the article. Instead of explaining the google colab tutorial, the writer must write about what deeper understanding they gained on the topic by exploring and tinkering the code on the the google colab site.
In specific, the writer needs to provide the following:
1. A hypothesis
2. Test the hypothesis using the code
3. Write a report on report on whether the hypothesis on the topic of VAE is supported by the the writer’s experimentation on the google colab site provided.
4. Any insight gained from the google colab url that is not touched on the hypothesis
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