深度學習揭密:訊號篇

演講摘要

本段演講將帶你了解MATLAB如何幫助和簡化執行訊號資料的深度學習。一開始,我們先探索幾個重要的功能,像是資料標記、前處理,以及大量訊號資料集的整理。接下來,我們將評估幾種用來進行深度學習的常見網路,以及如何應用這些網路來解決真實世界的訊號問題。

演講的最後,我們將展示如何佈署這些經過訓練的模型,讓這些模型能夠在GPU或嵌入式處理器上面執行。


Demystifying Deep Learning: Signal Focus

Learn how MATLAB enables and simplifies the process of performing deep learning with signal data. We’ll start off by looking at key capabilities for labeling, pre-processing, and sorting large signal data sets. Then we'll examine the key types of networks used for deep learning and how they are applied to solve real-world signal problems.

We will wrap up by showing how these trained models can be deployed to run on a GPU or embedded processor.