README: triplet loss definition update

JK1602lyq · Mar 26, 2018 · 500fc66 · 500fc66
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diff --git a/Experiments_FashionMNIST.ipynb b/Experiments_FashionMNIST.ipynb
@@ -841,7 +841,7 @@
     "![alt text](images/anchor_negative_positive.png \"Source: FaceNet\")\n",
     "Source: [2] *Schroff, Florian, Dmitry Kalenichenko, and James Philbin. [Facenet: A unified embedding for face recognition and clustering.](https://arxiv.org/abs/1503.03832) CVPR 2015.*\n",
     "\n",
-    "**Triplet loss**:   $L_{triplet}(x_a, x_p, x_n) = m +  \\lVert f(x_a)-f(x_p)\\rVert_2^2 - \\lVert f(x_a)-f(x_n)\\rVert_2^2$"
+    "**Triplet loss**:   $L_{triplet}(x_a, x_p, x_n) = max(0, m +  \\lVert f(x_a)-f(x_p)\\rVert_2^2 - \\lVert f(x_a)-f(x_n)\\rVert_2^2$)"
    ]
   },
   {

diff --git a/Experiments_MNIST.ipynb b/Experiments_MNIST.ipynb
@@ -806,7 +806,7 @@
     "![alt text](images/anchor_negative_positive.png \"Source: FaceNet\")\n",
     "Source: [2] *Schroff, Florian, Dmitry Kalenichenko, and James Philbin. [Facenet: A unified embedding for face recognition and clustering.](https://arxiv.org/abs/1503.03832) CVPR 2015.*\n",
     "\n",
-    "**Triplet loss**:   $L_{triplet}(x_a, x_p, x_n) = m +  \\lVert f(x_a)-f(x_p)\\rVert_2^2 - \\lVert f(x_a)-f(x_n)\\rVert_2^2$"
+    "**Triplet loss**:   $L_{triplet}(x_a, x_p, x_n) = max(0, m +  \\lVert f(x_a)-f(x_p)\\rVert_2^2 - \\lVert f(x_a)-f(x_n)\\rVert_2^2$\\)"
    ]
   },
   {

diff --git a/images/triplet_loss.png b/images/triplet_loss.png