diff --git a/04_training_linear_models.ipynb b/04_training_linear_models.ipynb
index fbf0062..0b9e424 100644
--- a/04_training_linear_models.ipynb
+++ b/04_training_linear_models.ipynb
@@ -1653,9 +1653,6 @@
     "for iteration in range(n_iterations):\n",
     "    logits = X_train.dot(Theta)\n",
     "    Y_proba = softmax(logits)\n",
-    "    xentropy_loss = -np.mean(np.sum(Y_train_one_hot * np.log(Y_proba + epsilon), axis=1))\n",
-    "    l2_loss = 1/2 * np.sum(np.square(Theta[1:]))\n",
-    "    loss = xentropy_loss + alpha * l2_loss\n",
     "    error = Y_proba - Y_train_one_hot\n",
     "    gradients = 1/m * X_train.T.dot(error) + np.r_[np.zeros([1, n_outputs]), alpha * Theta[1:]]\n",
     "    Theta = Theta - eta * gradients\n",