对于《Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks》的理解
很多先前的防止adversarial example的方法都是,adversarial training and gradient masking,都会修改原来的网络,本文讲述的是利用对input压缩简化的方式,去进行对于输入样本的…
PyTorch - 09 - Flatten, Reshape, 和Squeeze说明 - 使用PyTorch进行深度学习的张量 Reshaping Operations - Tensors For Deep LearningReshaping Operations For TensorsAn Analogy For TensorsTensor Shape ReviewReshaping A Tensor In PyTorchChanging Shape By Squeezing…
10. Flatten, Reshape, And Squeeze Explained - Tensors For Deep Learning With PyTorch
我们开始用tensor进行简单操作
对于tensor的操作主要有四种
重塑操作元素操作元素还原操作元素访问操作 最后这个len(t.shape)代表知道t的秩
先把t.shape变…