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This article shows you how to use Tensorflow to build a neural network to achieve handwritten digit classification, the content is concise and easy to understand, can definitely brighten your eyes, through the detailed introduction of this article, I hope you can get something.

From now on, it is used for Mnist handwriting recognition applications. We use convolution neural network to realize classification.

(1) first, we define the weight initialization function.

(2) next, define convolution layer and pooling layer.

(4) the definition of convolution neural network structure.

(5) define loss function and accuracy.

(7) finally, start Session and transfer the data from Numpy to Tensorflow for training.

The above content is how to use Tensorflow to build a neural network to classify handwritten digits. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

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