<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Deep Learning - 標籤 - DataSci Ocean</title><link>https://datasciocean.com/tags/deep-learning/</link><description>Deep Learning - 標籤 - DataSci Ocean</description><generator>Hugo -- gohugo.io</generator><language>zh-TW</language><managingEditor>l066858998@gmail.com (Hong-Wei Wu)</managingEditor><webMaster>l066858998@gmail.com (Hong-Wei Wu)</webMaster><copyright>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.</copyright><lastBuildDate>Mon, 12 Jun 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://datasciocean.com/tags/deep-learning/" rel="self" type="application/rss+xml"/><item><title>利用 PyTorch 的 ResNet 快速建立一個圖像分類器</title><link>https://datasciocean.com/other/pytorch-resnet-image-classifier/</link><pubDate>Mon, 12 Jun 2023 00:00:00 +0000</pubDate><author><name>Hong-Wei Wu</name></author><guid>https://datasciocean.com/other/pytorch-resnet-image-classifier/</guid><description>&lt;div class="featured-image">
                &lt;img src="/other/pytorch-resnet-image-classifier/featured-image.jpg" referrerpolicy="no-referrer">
            &lt;/div>手把手示範如何用 PyTorch 的 TorchVision 載入已訓練好的 ResNet 模型，不需自己訓練，直接對狗、貓、飛機三張圖片做圖像分類推論，並附完整 Colab／GitHub 程式碼。</description></item><item><title>PyTorch 支援 Apple Silicon GPU (Mac M1)</title><link>https://datasciocean.com/other/pytorch-apple-silicon-m1-gpu/</link><pubDate>Thu, 18 May 2023 00:00:00 +0000</pubDate><author><name>Hong-Wei Wu</name></author><guid>https://datasciocean.com/other/pytorch-apple-silicon-m1-gpu/</guid><description>&lt;div class="featured-image">
                &lt;img src="/other/pytorch-apple-silicon-m1-gpu/featured-image.jpeg" referrerpolicy="no-referrer">
            &lt;/div>手把手教學：如何在 Apple Silicon Mac 上啟用 PyTorch 的 GPU 加速訓練，從安裝 Miniconda 到實測 M1 CPU 與 M1 GPU 的訓練速度差異。</description></item></channel></rss>