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deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

finetune_classification

使用 TensorFlow 进行 finetuning 的通用分类模型

image-category-understanding-and-application

此库为2017-2018年度工程实践项目，主要目的是能够识别图像类别，尤其是医学类，然后在医学类中再进行更为细致的类别识别，以达到医学影像这一垂直领域的应用目的。

keras-oneshot

koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras

keras_frcnn

Keras Implementation of faster-rcnn

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mirror

models

Models and examples built with TensorFlow

mtcnn-tensorflow

Reproduce MTCNN using Tensorflow

omniglot

Omniglot data set for one-shot learning

prototypical-networks

Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial

Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.

tensorpack

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

test

Lots of test code

understand_facenet

整理和注释了facenet的代码，以便更好地理解facenet的代码。源代码地址：https://github.com/davidsandberg/facenet