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Master neural networks from scratch with Python

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...
IEEE

Near-Surface Structural Regularization for Full-Waveform Inversion Using Directional Total Variation

Abstract: Full-waveform inversion (FWI) is increasingly used in land seismic exploration to achieve high-resolution near-surface models. In complex near-surface environments, however, FWI is ...
IEEE

Constrained Regularization by Denoising With Automatic Parameter Selection

Abstract: Regularization by Denoising (RED) is a well-known method for solving image restoration problems by using learned image denoisers as priors. Since the regularization parameter in the ...