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In this article, different values of learning rate and cycle numbers were tried.
c : MSE for different values of learning rate μ (the noise variance was set to σ0=0.001), theoretical results.
Neural networks with various structures were investigated, including three and four layers with different number of neurons in each hidden layer, different values of learning rate and momentum, and different transfer functions.
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Figure 7 The RBI images at different values of the learning rate 1.
(a) Initial RBI I, (b) 372th input image, (c) RBI I with the α = 0.6, (d) RBI I with the α = 0.3, (e) RBI I with the α = 0.05, and (f) RBI I with the α = 0.01. Figure 8 The RBI images at different values of the learning rate 2. (a) The first input image, (b) the 1,386th input image, (c) the 1,386th RBI I with the α = 0.001, and (d) the 1,386th RBI I with the α = 0.01.
b: MSE for different values of noise variance, the learning rate was μ=0.0045 (theoretical results).
Fig. 6 Learning curves against different values of α and β for LTVFF-DRLS algorithm Fig. 7 Learning curves against different values of α and β for LCTVFF-DRLS algorithm when γ=0.95.
Fig. 4 NMSD learning curves of NSAF, SR-NSAF, and MSR-NSAF with N = 4 and different values of μ Fig. 5 NMSD learning curves of the NSAF (N = 4 and 8), SR-NSAF, and MSR-NSAF (μ = 0.05).
Figures 6 and 7 show the trade-off between convergence speed and steady-state performance by depicting learning curves against different values of α and β for LTVFF-DRLS and LCTVFF-DRLS algorithms, respectively.
Figure 11b shows the MSE evolution during the learning process for different values of the noise variance σ0.
The fact that they have the confidence to come to school in a different country and understand the value of learning and using a different language is a great example to our students, who are often scared to go to other parts of London, never mind the world.
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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