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.

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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.

deep-learning-education computer-vision-training neural-networks-practice academic-assignments machine-learning-study
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Sep 21, 2017

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