How many steps are appropriate for each cycle of deep learning?

How many steps per cycle are appropriate for deep learning , How to measure the number of deep learning steps ？ In the last decade, deep learning has developed rapidly , There are many deep learning algorithm development frameworks in the industry .

How many steps per cycle are appropriate for deep learning ？ How to measure the number of deep learning steps ？

There is no standard answer to the number of steps per cycle of deep learning , At present, a step number measurement method based on deep learning is disclosed , It includes the following steps ：

S1、 Collect the inertia raw data of the foot ;

S2、 The fixed step sliding window is used to segment the inertial raw data , Several segmented sequence data are obtained ;

S3、 For each sequence data , Split and arrange them into forward data and backward data ;

S4、 Based on the forward data and backward data, the probability that the target object is in the standing state is obtained through the symmetric cyclic convolution neural network ;

S5、 Determine whether the feet of the target object are in a swinging state or a standing state ;

S6、 The total number of times the target object switches from standing state to swinging state is taken as the total number of steps in the measurement process , Complete step measurement . This method does not need motion patterns and pedestrian information , The original inertial unit data is sent to the neural network in the form of sliding window , It can detect pedestrian steps accurately and robustly .

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