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The average learning performance is around 1.3% higher than in the outdoor condition.
The average learning time was 43.9 min.
To investigate the convergence of the learning algorithm, we calculated the average learning rate, Fig. 5.
ANN used two hidden layers with 50 and 26 neurons for the first and second layer, respectively, there were 1000 epochs, and the average learning rate was 0.04.
The average learning rate of the process is calculated as (frac {1}{(E{n s,a)})}), where E{n s,a)} is the average number of times each (state,action) pair is visited by the agent.
The average learning time of BR and LM with 40 hidden units network are 3 and 2 h, while the number of iterations is less than 25 and 100 iterations, which means that both algorithms have high computation complexity.
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The group average learning curves for phonological performance were well fitted by a power function model, with R2 values ranging from 0.75 to 0.87 (p<.0001) in all three age groups.
The group average learning curves for each age group were well fitted by a power function model with R2 values ranging from 0.82 to 0.96 (p<0.0001) for both performance speed and accuracy, in both tasks.
Finding: Students scoring average of 17.60 points, equivalent to 88% of the total score and the results indicated the student's average learning achievement shows about 82.05% of the students passed the prescribed 80% passing criterion which has higher than the expected 80% of the total number.
This peak precedes the peak in time-tuning (trial bin 21 25, Figure 3E) and the averaged learning trial (24 ± 1 for imaged mice, trial 26 ± 2, for all mice; mean ± SEM).
There is no "average" learning.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com