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一、什么是TensorFlow? 二、MNIST数据集(手写数字识别) ①:sigmoid和softmax ③:cross_entropy (交叉熵) ④:gradientdescent(梯度下降) 三、CNN卷积神经网络(Convolutional Neural Network) ①:什么是卷积神经网络 ②:参数减少和权重共享 ③:strides、patch、padding ③:最大池化
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https://www.tensorflow.org/ (google的tensorflow官网) https://hit-scir.gitbooks.io/neural-networks-and-deep-learning-zh_cn/content/chap3/c3s1.html (不错的gitbook) https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/mnist/mnist.py 一个会讲到的入门例子 https://github.com/MorvanZhou/tutorials/blob/master/tensorflowTUT/tf18_CNN3/full_code.py 一个会讲到的进阶例子
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一、什么是TensorFlow?
二、MNIST数据集(手写数字识别)
①:sigmoid和softmax
③:cross_entropy (交叉熵)
④:gradientdescent(梯度下降)
三、CNN卷积神经网络(Convolutional Neural Network)
①:什么是卷积神经网络
②:参数减少和权重共享
③:strides、patch、padding
③:最大池化
The text was updated successfully, but these errors were encountered: