madalinabuzau/cs231n-convolutional-neural-networks-solutions
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
This provides completed assignments for the Stanford CS231n course on visual recognition, helping students learn to build and train convolutional neural networks. You get structured problem sets and their solutions, which demonstrate how to implement deep learning models using TensorFlow and PyTorch. This is ideal for students or self-learners taking the CS231n course or similar deep learning programs.
113 stars. No commits in the last 6 months.
Use this if you are a student working through the Stanford CS231n course assignments and need to check your work or understand different approaches to solving the problems.
Not ideal if you are looking for a general-purpose library or tool for deep learning applications, as this is a specific educational resource.
Stars
113
Forks
53
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 21, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/madalinabuzau/cs231n-convolutional-neural-networks-solutions"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
mbadry1/CS231n-2017-Summary
After watching all the videos of the famous Standford's CS231n course that took place in 2017, i...
machinelearningnanodegree/stanford-cs231
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through...
MahanFathi/CS231
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
jariasf/CS231n
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
Burton2000/CS231n-2017
Completed the CS231n 2017 spring assignments from Stanford university