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caffe-face

This branch is developed for deep face recognition

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

face_verification_experiment

A Light CNN for Deep Face Representation with Noisy Labels

facenet

Face recognition using Tensorflow

faceverification

An Experimental Implementation of Face Verification, 96.8% on LFW.

inception-v4

Inception-v4, Inception - Resnet-v1 and v2 Architectures in Keras

joint-bayesian

Face verify using Joint Bayesian, implemented by Python

keras-inceptionv4

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

keras_deeplearning_example

lcnn_train

train model of "A Lightened CNN for Deep Face Representation" 人脸识别

leetcode

leetcode题解，记录自己的leecode解题之路。

lfw_api

For better using Labeled Faces in the Wild Benchmark, I provide the code of three versions, namely C++, python and Octave.

msd-beamforming

broadband beamforming using modal subspace decomposition method

tensorflow-vgg16

conversation of caffe vgg16 model to tensorflow

tensorflow.cifar10

The examples of image recognition with the dataset CIFAR10 via tensorflow.

tfalexnet

this is an implementation of alexnet with tensorflow. Run the train.py for training, and test.py for testing. You only need to config the picture folder path