CS231n lecture 5 Convolutional Neural Networks(CNN)
ConvNet Layers 卷積神經網絡將輸入的原始圖像像素逐層轉換爲最終的 class scores。 我們採用以下幾個主要的 layers 來構建卷積網絡框架。 Convolutional Layer, Pooling Layer, and Fully-Connected Layer We will stack these layers to form a full ConvNet arch
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相關文章
- 1. CS231N-5-Convolutional Neural Networks
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- 3. cs231n-notes-Lecture-10：Recurrent Neural Networks
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- 5. cs231n --- 3 : Convolutional Neural Networks (CNNs / ConvNets)
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- 7. 【CS231n】Lecture 6：Training Neural Networks,Part 2
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