11-785, Fall 22 Lecture 28: Deep Learning in the Real World – Agot.AI (Guest Lecture)
So, everybody, everyone, all seven of you in this room, eight, and hopefully the other 200, one of you can. So, this light lecture of the course, it’s my last lecture. It’s my pleasure and honor to introduce my old friend and previously student at the year Alex Litzinberger, Alex Hussiengier. And after leaving CMU, […]
Stanford CS221 AI Lecture 3: Machine Learning 2 – Features, Neural Networks
Okay, welcome back everyone. This is the second lecture on machine learning. So just before we get started, a couple of announcements. Homework 1, foundations is due tomorrow at 11 p.m. Note that it’s 11 p.m. not at 11.59. And please, I would recommend everyone try to do a test mission early, right? It would […]
Top Kaggle Solution for Fall 2022 Semester
Welcome to Applications with Deep Narrow Networks with Washington University. In this video I’m going to show you the Kaggle competition that we just competed. This was a Kaggle competition that I put together just all original data for time series forecasting. And we’re going to look at the presentation given by the winning team. […]
Stanford CS221 AI Lecture 4: Machine Learning 3 – Generalization, K-means
We’re going to go through the back propagation example, which I went through very briefly in the last lecture, talk about newters’ neighbors, which I did within one minute. And also, they’re going to talk about a scikit-learn, which is this really useful tool for doing machine learning, which might be useful for your final […]
11-785 Spring 2023 Recitation 0D: Dataset & DataLoaders
Hello and welcome everyone. I am Ishani Agravaar, one of the TA for introduction to deep learning course. Today I will be going through the recitation of data sets and data looders. Our goal in this recitation is to get comfortable using the data set and data looter objects. This is an important recitation as […]
Automatic Machine Learning – Prof. Frank Hutter
Our next speaker is Frank Hutter. He’s a professor in Department of Computer Science in the University of Freiburg, Germany. Frank is very well known for his work in Beijing Optimization. And last year, your team won the competition of AutoML, right? Yeah, that’s the amazing achievement. And Frank is here to tell us more […]
11-785 Spring 2023 Recitation 0L: Workflow of a Deep Learning HW
Hey everyone, my name is Vidan and I’m on the TAs for 1175 this semester. In this gestitation, we’re going to be going over the basic structure and workflow for deep learning project. So if you’re relatively new to the field and haven’t completed or seen many projects like this, it can be pretty intimidating […]
