计算机网络课程的内容通常包括网络技术和协议，包括网络层、数据链路层、物理层和应用层, 本地网络（LAN）和广域网（WAN), 路由器和交换机, 网络安全和网络管理.
ECON425: Machine Learning Winter 2022 Question 1. Typical machine learning algorithms can be used to address both supervised or unsupervised problems. The predictions of these algorithms are either continuous values or discrete labels. Therefore, there are four types of machine learning algorithms, as summarized in the following 1. Supervised, continuous 2. Supervised, discrete 3. Unsupervised, […]
ECON425: Machine Learning Winter 2022 Question 1. Typical machine learning algorithms can be used to address both supervised or unsupervised problems. The predictions of these algorithms are either continuous values or discrete labels. Therefore, there are four types of machine learning algorithms, as summarized in the following 1. Supervised, continuous 2. Supervised, discrete 3. Unsupervised,
ECON425 Machine Learning Final Exam Read More »
CS 124 Final exam: Spring 2023 Your name: Instructions: Spend at most 180 minutes on the exam, from the time you first see a problem to the last time you write anything in your solutions. Time started: Time ended: Do not communicate with anyone but the course staff about the contents of the exam. Do
CS 124 Final exam Spring 2023 Read More »
CS 124 Final exam: Spring 2023 Your name: Instructions: • Spend at most 180 minutes on the exam, from the time you first see a problem to the last time you write anything in your solutions. Time started: Time ended: • Do not communicate with anyone but the course staff about the contents of the
CS 124 Final exam Spring 2023 Read More »
Homework 4 starter code dense data In this homework, we will implement an object detector from scratch. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We will
Homework 3 starter code data dense data In this homework, we will use all the trick at our disposal to tune a classification network on supertux. We then make this classification network fully convolutional and solve a semantic labeling task (labeling every pixel in the image). This assignment should be solved individually. No collaboration, sharing
Final project – SuperTuxKart ice hockey starter code The final project is open-ended. The task is to program a SuperTuxKart ice-hockey player. You have two options: An image-based agent and a state-based agent. You need to pick one route and cannot compete in both. Both agent types have the same objective, score as many goals
Homework 5 starter code In this homework, we will train a CNN to do vision-based driving in SuperTuxKart. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution. We
Extra credit homework starter code In this homework, you will work with character-level language models. These models take as input a sequence of characters and predict the next character. You will first implement functionalities for an abstract language model, then build a new Temporal Convolutional Network (TCN). This assignment should be solved individually. No collaboration,
Homework 2 starter code data In this homework, we will train a convolutional network to classify images from SuperTuxKart. This assignment should be solved individually. No collaboration, sharing of solutions, or exchange of models is allowed. Please, do not directly copy existing code from anywhere other than your previous solutions, or the previous master solution.