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.
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 […]
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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.
15-213, Fall 20xx The Attack Lab: Understanding Buffer Overflow Bugs Assigned: Tue, Sept. 29 Due: Thu, Oct. 8, 11:59PM EDT Last Possible Time to Turn in: Sun, Oct. 11, 11:59PM EDT 1 Introduction This assignment involves generating a total of five attacks on two programs having different security vul- nerabilities. Outcomes you will gain from
assignment2 Assignment 2: Recurrent neural networks¶ Due: by 11:59pm, Wednesday 6/7¶ Note: late submissions are accepted up to 5 days after the deadline for this assignment. You will receive 4 free late days to use between the two assignments of the course; once you exhaust those late days, each (partial) day that a submission is
ENGN6528 Final Exam S1 2021 Instructions on next page The Australian National University College of Engineering and Computer Science Final Exam, First Semester 2021 ENGN6528 Computer Vision Question Booklet Reading time: 15 minutes Writing time: 2 hours Uploading time: 15 minutes Code Help Allotted Time You will have 2 hours to complete the exam plus
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