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tensorflow2.0
tensorflow2.0
 
 
tensorflow_code
tensorflow_code
 
 
1_tensorflow基础.ipynb
1_tensorflow基础.ipynb
 
 
2_tensorflow_模型变量的保存.ipynb
2_tensorflow_模型变量的保存.ipynb
 
 
3_tensorflow_模型变量的恢复.ipynb
3_tensorflow_模型变量的恢复.ipynb
 
 
4_tensorflow_softmax.ipynb
4_tensorflow_softmax.ipynb
 
 
5_tensorflow_crossentropy.ipynb
5_tensorflow_crossentropy.ipynb
 
 
6_tensorflow_优化器操作.ipynb
6_tensorflow_优化器操作.ipynb
 
 
7_tensorflow_模型的评估.ipynb
7_tensorflow_模型的评估.ipynb
 
 
8_tensorflow_tenboard可视化.ipynb
8_tensorflow_tenboard可视化.ipynb
 
 
9_tensorflow_graph流程控制.ipynb
9_tensorflow_graph流程控制.ipynb
 
 
OpenCV_DNN模块_从TensorFlow模型导出到OpenCV部署详解.ipynb
OpenCV_DNN模块_从TensorFlow模型导出到OpenCV部署详解.ipynb
 
 
Python代码实现整个神经网络搭建.ipynb
Python代码实现整个神经网络搭建.ipynb
 
 
README.md
README.md
 
 
TensorFlow Lite指南实战.ipynb
TensorFlow Lite指南实战.ipynb
 
 
TensorFlow Serving入门.ipynb
TensorFlow Serving入门.ipynb
 
 
Tensorflow中scope命名方法.ipynb
Tensorflow中scope命名方法.ipynb
 
 
tensorflow基础入门十大操作总结.ipynb
tensorflow基础入门十大操作总结.ipynb
 
 
令人困惑的TensorFlow_1.ipynb
令人困惑的TensorFlow_1.ipynb
 
 
令人困惑的TensorFlow_2.ipynb
令人困惑的TensorFlow_2.ipynb
 
 
使用Tensorflow-Lite对LeNet进行训练后量化.ipynb
使用Tensorflow-Lite对LeNet进行训练后量化.ipynb
 
 
吴恩达16周TF实践」.ipynb
吴恩达16周TF实践」.ipynb
 
 
搭建神经网络_神经元.ipynb
搭建神经网络_神经元.ipynb
 
 
神经网络可解释性方法汇总.ipynb
神经网络可解释性方法汇总.ipynb
 
 

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tensorflow-tutorial

TensorFlow Tutorial and Examples for Beginners

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TensorFlow Tutorial and Examples for Beginners

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