Research Done...Now Implementation!

After last week's research on the Hugging Face library and Tensorflow resources to gain a good grasp on natural language processing topics such as recurrent neural networks, LSTMs, and transformers. I also looked over some tutorials and online guides that helped me understand the inner workings of the concepts and how they would be implemented through code with certain methods and programming approaches. Furthermore, I was able to contact a few more professionals and professors last week, and I will likely get some interviews in the near future in the next one to two weeks.

I have decided on the topics for 3 of my portfolio projects for my 1st semester's Original Work in order to start implementing the concepts I have learned so far to solve real-world projects. The three topics are text generation for autocomplete in emails, text classification to identify positive and negative ideas in text such as tweets, and machine translation using transformers to convert certain phrases of a language accurately on demand. As I move forward this week, I hope to complete some projects and make some progress to finish my portfolio soon to be prepared for my presentation next week of my Original Work.

So see you next week, same place, same time.