Using AI to Explore Deep Learning


When I was learning about Artificial Neural Networks (ANN), I heard about Deep Learning. As a quick recap, ANNs are inspired by how the neurons in human brains process information. if you think back to our previous chat about Machine Learning (ML), ANNs are used to process unstructured data. Below is an example of a simple ANN plot created by me and a classmate to predict white wine quality from Portugal.


So, what is Deep Learning and what does it have to do with ANNs? Using ChatGPT, I will try to learn more about Deep Learning to expand my knowledge of ML and ANNs.

I asked ChatPGT to exam plain Deep Learning in simple terms. Here is its answer:

"Deep learning is a specialized subset of machine learning. It involves neural networks with many layers (hence "deep"). These neural networks attempt to simulate the behavior of the human brain—albeit in a very basic form—to process data and create patterns for decision making. Deep learning is particularly powerful for tasks like image and speech recognition."

ChatGPT is also a Deep Learning model. Actually, GPT stands for "Generative Pre-trained Transformer," a type of deep learning model that understands and generates human-like text. However, it is worth mentioning that GPT is different from Natural Language Processing (NLP), which we also talked about on What Even is Machine Learning? and we will explore in more depth next week.

I have a basic understanding of Deep Learning thanks to my previous experience with ANNs, so I want to try creating a Deep Learning algorithm. I once again turn to ChatGPT for guidance on how I can become more familiar with Deep Learning. Here is what ChatGPT said:


I will take ChatGPTs advice and load the Keras package onto my R studio to create a simple Deep Learning algorithm. Wish me luck!



References:

OpenAI. (2023). ChatGPT [Large language model]. https://chat.openai.com

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