Starting my Original Work!

Last week, I gained a deep understanding of the capabilities of the Hugging Face library in implementing and deploying transformers to solve problems with configurations specifically targeted toward the business context. I explored the possibilities of using a customized tokenizer, transformer, and head to determine an output based on the input data by using the relationships between words, or phrases, in a sequence. Furthermore, I also learned more about the different types of algorithms in natural language processing, such as recurrent neural networks, long short-term memory models, bidirectional recurrent neural networks, and gated recurrent units. I learned about the benefits and limitations of each of the algorithms and gained a visual representation of the inner workings of each of the models in relation to each neural network layer. This helped me understand the NLP algorithms I could use to create my first few projects in my Original Work.

Based on this knowledge, I plan to start my Original Work this week by starting with my first project using one of these basic NLP algorithms, primarily focusing on recurrent neural networks, to explore practical NLP implementations I also want to continue to meet professionals in the field of machine learning for more guidance on the projects I should pursue to develop the best understanding possible as I continue my journey in ISM 2.

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