This project forked from keyird/deeplearning-tensorflow2
本专栏我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。
在这个项目中，我将使用谷歌TensorFlow2.0框架逐一复现经典的卷积神经网络：LeNet-5、AlexNet、VGG系列、GooLeNet、ResNet 系列、DenseNet 系列，以及现在比较流行的：RCNN系列、SSD、YOLO系列等。
图像分类任务
1. 手写数字识别FirstNet（已完成）
2. 快速搭建卷积网络FastNet（已完成）
3. LeNet-5（已完成）
4. AlexNet（已完成）
5. VGG系列（已完成）
6. GooLeNet（已完成）
7. ResNet系列（已完成）
8. DenseNet系列（已完成）
目标检测任务
1. RCNN系列
2. SSD
3. YOLO系列
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