TensorFlow2 implements matrix decomposition in collaborative filtering algorithm (the first one is based on TS2 version)
Objectives:
TensorFlow2 is used to realize the matrix decomposition in collaborative filtering algorithm. The vast majority of those found online are copied based on a template and are based on TensorFlow1. Therefore, I do it myself and implement it with TensorFlow2.
I wonder why TensorFlow2 is not implemented for us. In Spark, just call spar ...
Added by mega77 on Mon, 18 Oct 2021 21:11:44 +0300
Convolution neural network convolution layer implementation for deep learning
in TensorFlow, you can not only build neural networks through the bottom implementation of custom weights, but also directly call the high-level implementation of existing convolution layer classes to quickly build complex networks. We mainly take 2D convolution as an example to introduce how to realize convolution neural network lay ...
Added by asparagus on Sat, 02 Oct 2021 04:46:05 +0300