jackhuntcn / notebooksLinks
my-deeplearning-practice-notebooks
☆31Updated 6 years ago
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- CCF BDCI2019 多人种人脸识别 Baseline Pubilic LB 0.64+ (PyTorch)☆84Updated 5 years ago
- personal practice(个人练习,实现了深度学习中的一些算法,包括:四种初始化方法(zero initialize, random initialize, xavier initialize, he initialize),深度神经网络,正则化,dropout,…☆223Updated 6 years ago
- 使用 TensorFlow 进行 finetuning 的通用分类模型☆85Updated 6 years ago
- 🏫DeepLearning学习笔记以及Tensorflow、Pytorch的使用心得笔记。Dr. Sure会不定时往项目中添加他看到的最新的技术,欢迎批评指正。☆425Updated 4 years ago
- 一个通用的图像分类模板,天池/CVPR AliProducts挑战赛 3/688☆86Updated 4 years ago
- 论文分享☆41Updated 2 years ago
- The source code and dataset about <Deep Learning - Best Practices on TensorFlow Engineering Implementation>☆218Updated 4 years ago
- 本代码加入了神经风格迁移中文注释,更易理解,同时新加入begin.py可直接运行调试。☆46Updated 7 years ago
- Triplet Loss 损失函数☆209Updated 7 years ago
- 天池比赛,kaggle等等(Keras/PyTorch实战)☆181Updated 4 years ago
- Pytorch训练自己的数据的示例代码☆57Updated 6 years ago
- 日常收集的资料和代码☆286Updated 2 years ago
- Udacity Machine Learning Nano Degree Courses☆201Updated 7 years ago
- Face recognition using triplet loss, implementing FaceNet with pytorch.人脸识别项目,提供一个小型数据集用作验证,使用三元组损失函数(Triplet loss)提升准确率和泛化能力,对FaceNet进行了…☆131Updated 7 years ago
- 每日一题(涉及但不仅限于机器学习、深度学习和计算机视觉等方向)☆190Updated 6 years ago
- Image classification: efficientnet/resnest/seresnext/.....☆262Updated last year
- Face Recognition Project on Pytorch☆40Updated 5 years ago
- 旨在搭建一个分类问题在Pytorch框架下的通解,批量解决单任务多分类问题、多任务多分类问题。☆56Updated 5 years ago
- 各种深度学习结构、模型和技巧的集合☆122Updated 5 years ago
- AI比赛相关信息汇总☆644Updated 2 years ago
- 秋招找工作经历☆35Updated 5 years ago
- share examples of tensorflow☆63Updated 6 years ago
- 天池雪浪布匹瑕疵检测,初赛线上949,排名9/2403☆190Updated 6 years ago
- ☆173Updated 6 years ago
- This is a game about garbage sorting organized by Huawei Cloud, this repository stores my plan.☆67Updated 5 years ago
- 一个面向初学者的,友好的Keras入门教程☆123Updated 5 years ago
- 获取图像的LBP特征☆81Updated 9 years ago
- 深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ …☆10Updated 7 years ago
- CNN、Linear网络纯numpy实现☆35Updated 5 years ago
- 深度学习常用优化方法详解☆268Updated 7 years ago