Fundamentals of machine learning and neural networks, pytoch framework

Fundamentals of machine learning The essence of machine learning: using data to solve problems Data preprocessing (important in deep learning) - > training phase - > model generation - > prediction phase We usually choose some data as the test set, such as about 20%. Sometimes there is an additional verification set of about 20 ...

Posted by hyngvesson on Wed, 08 Sep 2021 00:38:35 -0700

Pytorch Note53 TensorBoard Visualization

Pytorch Note53 TensorBoard Visualization A summary of all notes: Pytorch Note Happy Planet TensorBoard is a visualization tool for Tensorflow that visualizes the running state of Tensorflow programs through the log files that are output during the running of the Tensorflow program.TensorBoards and TensorFlow programs run in different proc ...

Posted by ossi69 on Tue, 07 Sep 2021 22:00:49 -0700

Pytorch machine learning -- NMS non maximum suppression and DIOU-NMS improvement in yoov5

Pytorch machine learning (VIII) -- NMS non maximum suppression and DIOU-NMS improvement in yoov5 catalogue Pytorch machine learning (VIII) -- NMS non maximum suppression and DIOU-NMS improvement in yoov5 preface 1, NMS non maximum suppression algorithm 2, Hard NMS non maximum code 3, DIOU-NMS   4, Soft NMS preface ...

Posted by spiyun on Tue, 07 Sep 2021 15:21:20 -0700