https://github.com/agisga/cs231n_2018_solutions
My solutions to the Stanford CS231n (Spring 2018) assignments
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.2%) to scientific vocabulary
Repository
My solutions to the Stanford CS231n (Spring 2018) assignments
Basic Info
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- Stars: 1
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Metadata Files
README.md
Stanford CS231n Convolutional Neural Networks for Visual Recognition
- Course website: https://cs231n.github.io/
- Assignment 1 (Spring 2018): https://cs231n.github.io/assignments2018/assignment1/
- Assignment 2 (Spring 2018): https://cs231n.github.io/assignments2018/assignment2/
- Assignment 3 (Spring 2018): https://cs231n.github.io/assignments2018/assignment3/
This repository contains my notes & solutions to the assignments.
Please note that I was not enrolled for the course and my solution was not submitted, checked or graded.
Docker
- I run the assignments using a Docker container.
For problems that don't require TensorFlow or PyTorch I use a basic miniconda-based container (based on the
continuumio/miniconda3Docker container), which is set up in a way similar to what I have described here.To run the container:
docker run -p 9999:8888 --name CS231n -v ~/github/my_CS231n/:/app/data cs231nwhere
cs231nis the name of my Docker image.To restart the container after it has shut down:
docker start -ia CS231nwhere
CS231nis the name of my Docker container.
For problems that use PyTorch I either use this Dockerfile locally, or work on AWS without Docker (see below).
AWS
- To run the more computationally heavy stuff that uses TensorFlow or PyTorch, I use AWS spot instances initialized with Amazon's "Deep Learning AMI (Ubuntu)" image. Here is a description of my workflow (under the section "AWS Deep Learning AMI").
Owner
- Name: Alexej Gossmann
- Login: agisga
- Kind: user
- Website: http://www.alexejgossmann.com/
- Repositories: 58
- Profile: https://github.com/agisga
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