Dr. Kostas Hatalis: Hello, everyone! Welcome to Alexander Labs’ Labcast, where we dive into the fascinating world of science. I’m Dr. Kostas Hatalis, and today we have Paul Gosselin with us.
Paul Gosselin: Thanks for having me, Kostas.
Dr. Kostas Hatalis: Today, we’re exploring the topic of deep learning. Imagine a computer that can recognize objects and understand speech, just like a human.
Paul Gosselin: That’s right. Deep learning is a subset of machine learning that uses artificial neural networks to learn from data.
Dr. Kostas Hatalis: The idea is to mimic the human brain’s ability to learn and recognize patterns. The more data the computer sees, the better it gets at recognizing and understanding it.
Paul Gosselin: It’s like teaching a child to recognize objects. You show them a picture of a dog, and over time, they learn to identify it as a dog. Deep learning is similar, but with a much larger and more complex set of data.
Dr. Kostas Hatalis: That’s correct. And one of the most exciting applications of deep learning is in image and speech recognition. For example, it can recognize a picture of a dog and even understand human speech.
Paul Gosselin: Yes, and it has many practical applications, such as in self-driving cars, where the computer needs to recognize and interpret the environment.
Dr. Kostas Hatalis: So, next time you see a robot or use a voice assistant, you can impress them with your knowledge of deep learning!
Paul Gosselin: Thanks for having me, Kostas.
Dr. Kostas Hatalis: Thanks for joining us, Paul. And thank you for listening, everyone. See you next time!
