xiaoyesoso / TensorFlowinAction
☆31Updated 7 years ago
Alternatives and similar repositories for TensorFlowinAction:
Users that are interested in TensorFlowinAction are comparing it to the libraries listed below
- share the codes I write during I learn GAN☆70Updated 6 years ago
- 《深度学习:一起玩转TensorLayer》资源分享、讨论☆138Updated 7 years ago
- Tensorflow implementation of VGG 16 and VGG 19☆100Updated 6 years ago
- Models built with TensorFlow☆72Updated 7 years ago
- Tensorflow 2.0 Tutorials☆118Updated 5 years ago
- ☆119Updated 8 years ago
- Version control for my deep learning course.☆47Updated 7 years ago
- The examples of image recognition with the dataset CIFAR10 via tensorflow.☆130Updated 6 years ago
- A prediction demo by using tensorflow inception_v3.☆48Updated 8 years ago
- ☆32Updated 8 years ago
- ResNet model in TensorFlow☆24Updated 7 years ago
- Tensorflow深度学习框架学习代码☆71Updated 2 years ago
- TensorFlow的练习代码☆44Updated 6 years ago
- 基于tensorflow开发的YOLO和YOLO9000,提供训练以及测试功能,以VOC2012数据集作为训练/测试集(5000/5000),进行性能检测,同时对比识别性能以及效率☆90Updated 6 years ago
- This tutorial of GAN is Chinese translation of its English version which is created by MXNet group.☆50Updated 6 years ago
- tensorflow learning according to CS20SI☆48Updated 7 years ago
- Implemetations of alexnet using Tensorflow on mnist.☆42Updated 6 years ago
- 物体检测 object-detection 用于检测红灯笼demo☆25Updated 7 years ago
- ☆51Updated 6 years ago
- kaggle Dog Breed Identification☆128Updated 7 years ago
- 唐源黄文坚所著书籍《tensorflow实战》的源码实现☆27Updated 7 years ago
- ☆83Updated 7 years ago
- 使用 TensorFlow 进行 finetuning 的通用分类模型☆85Updated 6 years ago
- Image retrieval system demo based on caffe and lsh☆73Updated 9 years ago
- 图像识别与推荐系统两类☆74Updated 7 years ago
- JD competition, pig face recognition☆82Updated 7 years ago
- There are all deeplearning.ai assigniment of Andrew Ng in coursera☆74Updated 6 years ago
- Examples about How to import data from tfrecord files using dataset API.☆104Updated 6 years ago
- ☆180Updated 6 years ago
- A VGG-19 implementation using Tensorflow☆33Updated 4 years ago