A structured first-layer initialization raises the ε-rank of neuron functions and accelerates training of PINNs and function approximators.
Emergence of Invariance and Disentanglement in Deep Representations
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Structured First-Layer Initialization Pre-Training Techniques to Accelerate Training Process Based on $\varepsilon$-Rank
A structured first-layer initialization raises the ε-rank of neuron functions and accelerates training of PINNs and function approximators.