Caffe学习：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。 下面以简单的logistic regression classifier（逻辑回归分类器）为例。 Forward Pass（前向迭代）利用给定的输入，根据模型设定的函数，计算出输出。This pass goes from bottom to top（数据流向从bottom到top）。 数据x通
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相关文章
- 1. Caffe学习3——Forward and Backward
- 2. Caffe学习：Forward and Backward
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- 5. 路径规划之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 论文阅读笔记