This paper presents a deep-learning-based algorithm dedicated to the processing of speckle noise in phase measurements in digital holographic interferometry. The deep learning architecture is trained with phase fringe patterns including faithful speckle noise. having non-Gaussian statistics and non-stationary property. and exhibiting spatial correlation length. https://classiquesupplyes.shop/product-category/spa/