# Deep-Learning **Repository Path**: whpUp/Deep-Learning ## Basic Information - **Project Name**: Deep-Learning - **Description**: TensorFlow2.0 ,Pytorch,Suitable for beginners - **Primary Language**: Python - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-02-28 - **Last Updated**: 2023-02-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Deep-Learning --- 在这里,我将会使用TensorFlow和Pytorch进行一些小型的项目演示,让大家对deep learning有更好的理解,相应的说明在对应文件夹的md文件里面,欢迎大家前来star,以后大概在两周左右更新一次,有合作意向的欢迎━(*`∀´*)ノ亻!与我联系QQ 965546422,程序有什么问题或者有什么疑问的也可以私聊我。 一. [**TensorFlow**](https://github.com/wu-huipeng/Deep-Learning/tree/master/TensorFlow). 1. [**MNIST识别**](https://github.com/wu-huipeng/Deep-Learning/tree/master/TensorFlow/MNIST)......... (1). [结合OpenCV的绘图功能,进行手写数字识别](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/MNIST/MNIST.ipynb) (2). [项目的简要说明](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/MNIST/MNIST.md). 2. [**生成MNIST**](https://github.com/wu-huipeng/Deep-Learning/tree/master/TensorFlow/DCGAN%20FOR%20MNIST).......... (1).[项目代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/DCGAN%20FOR%20MNIST/DCGAN%20for%20mnist.ipynb). (2).[项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/DCGAN%20FOR%20MNIST/DCGAN.md). 3. [**人脸识别**](https://github.com/wu-huipeng/Deep-Learning/tree/master/TensorFlow/Face_Recognize).......... (1)[训练代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/Face_Recognize/OpenCV%20and%20tf.ipynb). (2)[项目代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/Face_Recognize/%E4%BA%BA%E8%84%B8%E8%AF%86%E5%88%AB.ipynb). (3)[项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/TensorFlow/Face_Recognize/face_recognize.md). 二. [**Pyotrch**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch). 1. [**TK结合Pytorch来界面化我们的模型**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch/Sex%20recognize)......... (1). [性别识别训练代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Sex%20recognize/train_pytorch.py). (2). [结合Tk GUI来应用我们的模型](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Sex%20recognize/GUI.py). (3). [项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Sex%20recognize/sex.md). 2. [**时装识别**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch/fashion)......... (1). [项目代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/fashion/fashion.ipynb). (2). [项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/fashion/fashion.md). 3. [**手势识别**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch/gesture%20recognition)......... (1). [项目代码](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/gesture%20recognition/%E6%89%8B%E5%8A%BF%E8%AF%86%E5%88%AB.py). (2). [项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/gesture%20recognition/gesture%20recognition.md). 4. [**数字验证码识别**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch/Verification%20code%20identification). (1).[模型训练](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Verification%20code%20identification/model.py). (2).[测试模型](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Verification%20code%20identification/test.py). (3).[项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch/Verification%20code%20identification/Verification%20code%20identification.md). ---- 在上面的入门项目完成后,我准备进入目标检测中去,上面的项目基本上是分类问题,而在目标检测中,我们既有回归任务,也有分类任务,难度大大加大了,加油吧! ---- 一. [**TensorFlow2.0**](https://github.com/wu-huipeng/Deep-Learning/tree/master/TensorFlow-object-detection). 二. [**Pytorch**](https://github.com/wu-huipeng/Deep-Learning/tree/master/Pytorch-object-detection). (1).[加载数据集](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch-object-detection/faster-rcnn/load_data.py). (2).[项目文档](https://github.com/wu-huipeng/Deep-Learning/blob/master/Pytorch-object-detection/faster-rcnn.md).