HaoMood/vgg-16-bn

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Created almost 7 years ago
Updated almost 7 years ago

HaoMood/vgg-16-bn

HaoMood

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Train CIFAR-10 using VGG-16-BN, which gives 93.39% test set accuracy.

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

blinear-cnn-faster

A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition

File

Reference Files

homepage

Hao Zhang's Homepage

ddt

Deep Descriptor Transforming for image retrieval

crow

Python implementation of CroW for unsupervised image retrieval

cpp-primer

Solution to C++ Primer, 5th edtion

psychology

心理学笔记

fine-grained-baseline

Baseline results of fine-grained visual recognition

pwa

Python implementation of PWA for image retrieval.

Introduction-to-Programming-with-MATLAB

Assignments of Introduction to Programming with MATLAB Course

vbird-linux

第13章学习shell script

emu

Assignment or Embedded System course

ufldl

Assignments of UFLDL

6.189

MIT 6.189 Assignments and Projects

6.s096-Effective-Programming-in-C-and-C-

Solution to assignments of MIT 6.s096 course

cs231n

Assignments of cs231n Course

Jupyter Notebook

pytorch-utilities

Data loader and other utility files for PyTorch

6.042-mathematics-for-computer-science

Code for MIT 6.042 Course