{"id":17182247,"url":"https://github.com/geektutu/tensorflow-tutorial-samples","last_synced_at":"2025-04-05T06:06:50.534Z","repository":{"id":44729533,"uuid":"111293914","full_name":"geektutu/tensorflow-tutorial-samples","owner":"geektutu","description":"TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例","archived":false,"fork":false,"pushed_at":"2020-11-22T17:30:57.000Z","size":22659,"stargazers_count":552,"open_issues_count":1,"forks_count":205,"subscribers_count":18,"default_branch":"master","last_synced_at":"2025-03-29T05:06:19.402Z","etag":null,"topics":["mnist","openai-gym","tensorflow","tensorflow-mnist"],"latest_commit_sha":null,"homepage":"https://geektutu.com/post/tensorflow2-mnist-cnn.html","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/geektutu.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-11-19T12:41:17.000Z","updated_at":"2025-03-25T10:39:48.000Z","dependencies_parsed_at":"2022-08-02T22:45:37.906Z","dependency_job_id":null,"html_url":"https://github.com/geektutu/tensorflow-tutorial-samples","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geektutu%2Ftensorflow-tutorial-samples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geektutu%2Ftensorflow-tutorial-samples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geektutu%2Ftensorflow-tutorial-samples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geektutu%2Ftensorflow-tutorial-samples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/geektutu","download_url":"https://codeload.github.com/geektutu/tensorflow-tutorial-samples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247294536,"owners_count":20915340,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["mnist","openai-gym","tensorflow","tensorflow-mnist"],"created_at":"2024-10-15T00:36:27.219Z","updated_at":"2025-04-05T06:06:50.498Z","avatar_url":"https://github.com/geektutu.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# TensorFlow 2.0 Tutorial 入门教程实战案例\n\n\u003e 用最白话的语言，讲解机器学习、神经网络与深度学习\n\u003e 示例基于 TensorFlow 1.4 和 TensorFlow 2.0 实现\n\n## 相关链接\n\n- [Python 简明教程](https://geektutu.com/post/quick-python.html)\n- [机器学习笔试面试题](https://geektutu.com/post/qa-ml-1.html)，[Github](https://github.com/geektutu/interview-questions)\n- [TensorFlow 2.0 中文文档](https://geektutu.com/post/tf2doc.html)，[Github](https://github.com/geektutu/tensorflow2-docs-zh)\n- [TensorFlow 2.0 图像识别\u0026强化学习实战](https://geektutu.com/post/tensorflow2-mnist-cnn.html)，[Github](https://github.com/geektutu/tensorflow-tutorial-samples)\n\n## OpenAI gym\n\n- [TensorFlow 2.0 (九) - 强化学习70行代码实战 Policy Gradient](https://geektutu.com/post/tensorflow2-gym-pg.html)\n    - [Github - gym/CartPole-v0-policy-gradient](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/gym/CartPole-v0-policy-gradient)\n    - 介绍了策略梯度算法(Policy Gradient)来玩 CartPole-v0\n\n- [TensorFlow 2.0 (八) - 强化学习 DQN 玩转 gym Mountain Car](https://geektutu.com/post/tensorflow2-gym-dqn.html)\n    - [Github - gym/MountainCar-v0-dqn](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/gym/MountainCar-v0-dqn)\n    - 介绍了DQN(Deep Q-Learning)来玩MountainCar-v0游戏\n    - Q-Table用神经网络来代替。\n\n- [TensorFlow 2.0 (七) - 强化学习 Q-Learning 玩转 OpenAI gym](https://geektutu.com/post/tensorflow2-gym-q-learning.html)\n    - [Github - gym/MountainCar-v0-q-learning](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/gym/MountainCar-v0-q-learning)\n    - 介绍了使用Q-Learning(创建Q-Table)来玩MountainCar-v0游戏\n    - 将连续的状态离散化。\n\n- [TensorFlow 2.0 (六) - 监督学习玩转 OpenAI gym game ](https://geektutu.com/post/tensorflow2-gym-nn.html)\n    - [Github - gym/CartPole-v0-nn](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/gym/CartPole-v0-nn)\n    - 介绍了使用纯监督学习(神经网络)来玩CartPole-v0游戏\n    - 使用TensorFlow 2.0\n\n## mnist\n\n- [TensorFlow 2.0 (五) - mnist手写数字识别(CNN卷积神经网络)](https://geektutu.com/post/tensorflow2-mnist-cnn.html)\n    - [Github - v4_cnn](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/mnist/v4_cnn)\n    - 介绍了如何搭建CNN网络，准确率达到0.99\n    - 使用TensorFlow 2.0\n\n- [TensorFlow入门(四) - mnist手写数字识别(制作h5py训练集)](https://geektutu.com/post/tensorflow-make-npy-hdf5-data-set.html)\n    - [Github - make_data_set](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/make_data_set)\n    - 介绍了如何使用 numpy 制作 npy 格式的数据集\n    - 介绍了如何使用 h5py 制作 HDF5 格式的数据集\n\n- [TensorFlow入门(三) - mnist手写数字识别(可视化训练)](https://geektutu.com/post/tensorflow-mnist-tensorboard-training.html)\n    - [Github - mnist/v3](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/mnist/v3)\n    - 介绍了tensorboard的简单用法，包括标量图、直方图以及网络结构图\n\n- [TensorFlow入门(二) - mnist手写数字识别(模型保存加载)](https://geektutu.com/post/tensorflow-mnist-save-ckpt.html)\n    - [Github - mnist/v2](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/mnist/v2)\n    - 介绍了 TensorFlow 中如何保存训练好的模型\n    - 介绍了如何从某一个模型为起点继续训练\n    - 介绍了模型如何加载使用，传入真实的图片如何识别\n\n- [TensorFlow入门(一) - mnist手写数字识别(网络搭建)](https://geektutu.com/post/tensorflow-mnist-simplest.html)\n    - [Github - mnist/v1](https://github.com/geektutu/tensorflow-tutorial-samples/tree/master/mnist/v1)\n    - 这篇博客介绍了使用 TensorFlow 搭建最简单的神经网络。\n    - 包括输入输出、独热编码与损失函数，以及正确率的验证。\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeektutu%2Ftensorflow-tutorial-samples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeektutu%2Ftensorflow-tutorial-samples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeektutu%2Ftensorflow-tutorial-samples/lists"}