Classify Radio Signals with PyTorch

提供方
在此指導項目中,您將:
2 hours
中級
無需下載
分屏視頻
英語(English)
僅限桌面

In this 2-hour long guided-project course, you will load a pretrained state of the art model CNN and you will train in PyTorch to classify radio signals with input as spectogram images. The data that you will use, consists of spectogram images (spectogram is a representation of audio signals) and there are targets such as ( Squiggle, Noises, Narrowband, etc). Furthermore, you will apply spectogram augmentation for classification task to augment spectogram images. Moreover, you are going to create train and evaluator function which will be helpful to write training loop. Lastly, you will use best trained model to classify radio signals given any 2D Spectogram of radio signal input images.

您要培養的技能

  • Deep Learning

  • Convolutional Neural Network

  • pytorch

  • classification

  • Computer Vision

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