Caffe學習：Forward and Backward
原文 forward and backward passes（前向迭代和反向迭代）是Net最基本的成分。 下面以簡單的logistic regression classifier（邏輯迴歸分類器）爲例。 Forward Pass（前向迭代）利用給定的輸入，根據模型設定的函數，計算出輸出。This pass goes from bottom to top（數據流向從bottom到top）。 數據x通
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相關文章
- 1. Caffe學習3——Forward and Backward
- 2. Caffe學習：Forward and Backward
- 3. 【Caffe筆記】二.Forward and Backward(前傳/反傳)
- 4. Sequence to Backward and Forward Sequences:A Content-Introducing
- 5. 路徑規劃之Backward search and forward search
- 6. saliency detection by forward and backward cues in deep-cnn
- 7. Forward and Backward Information Retention for Accurate Binary Neural Networks
- 8. Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Cla
- 9. 【Paper Reading】Forward and Backward Information Retentionfor Accurate Binary Neural Networks
- 10. Feed Forward and Backward Run in Deep Convolution Neural Network 論文閱讀筆記