My Archive For Stanford's CS231n: Convolutional Neural Networks
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Updated
Jan 7, 2017 - Jupyter Notebook
My Archive For Stanford's CS231n: Convolutional Neural Networks
Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).
Python3 compatible solutions for cs231n-2016spring assignments
Implementation of building blocks to Convolutional Neural Network. Exercises and solution to Andrej Karpathy's Deep Learning course.
A series of deep learning experiments to understand its backbone.
The assignment for cs231n course
Code Repository For Stanford's CS231n : Convolutional Neural Networks for Visual Recognition Assignments
These are my solutions to the programming assignments of the class CS231n: Convolutional Neural Networks for Visual Recognition
omework solutions of CS231n: Convolutional Neural Networks for Visual Recognition.
My solution to the 1st assignment of UdelaR's Deep Learning course, based on Stanford CS231n.
My solution to the 2nd assignment of UdelaR's Deep Learning course, based on Stanford CS231n.
My solution to the 3rd assignment of UdelaR's Deep Learning course, based on Stanford CS231n.
Code for CS231n: Convolutional Neural Networks for Visual Recognition from Stanford (Winter 2016)
My solution for cs231n homework
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