IEEE

Research on Ship Radiated Noise Separation Method Based on Neural Network Autoencoder Combined With Time–Frequency Masking

Abstract: Strong narrowband signals mixed with weak broadband signals can interfere with the direction estimation of broadband targets using the cross-correlation method of a two-hydrophone array. To ...
IEEE

Compositional Neural Distance Field with Latent Code Embedding for Dynamic Objects

Abstract: In recent years, implicit neural representation of 3D scenes has evolved significantly and has been rapidly extended to multiple application scenarios. However, using this type of approach ...
Scientific Research Publishing

Song, H., Gao, Y., Chen, W., Xue, Y., Zhang, H. and Zhang, X. (2020) Seismic Random Noise Suppression Using Deep Convolutional Autoencoder Neural Network. Journal of Applied ...

ABSTRACT: With the deepening of oil and gas exploration, the exploration targets have gradually shifted from structural oil and gas reservoirs to lithological oil and gas reservoirs. The fluvial ...
Hosted on MSN

Backpropagation from scratch in Python – step by step neural network tutorial

Learn how backpropagation works by building it from scratch in Python! This tutorial explains the math, logic, and coding behind training a neural network, helping you truly understand how deep ...