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Modify linear regression loss function #373

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Merged
merged 2 commits into from
May 27, 2020
Merged

Modify linear regression loss function #373

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2eb7d1e
Modify tf2 linear regression loss function
HosseinSheikhi May 19, 2020
855709f
neural_network.ipynp syntax error has been corrected
HosseinSheikhi May 20, 2020
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5 changes: 2 additions & 3 deletions tensorflow_v2/notebooks/2_BasicModels/linear_regression.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -56,8 +56,7 @@
"X = np.array([3.3,4.4,5.5,6.71,6.93,4.168,9.779,6.182,7.59,2.167,\n",
" 7.042,10.791,5.313,7.997,5.654,9.27,3.1])\n",
"Y = np.array([1.7,2.76,2.09,3.19,1.694,1.573,3.366,2.596,2.53,1.221,\n",
" 2.827,3.465,1.65,2.904,2.42,2.94,1.3])\n",
"n_samples = X.shape[0]"
" 2.827,3.465,1.65,2.904,2.42,2.94,1.3])\n"
]
},
{
Expand All @@ -76,7 +75,7 @@
"\n",
"# Mean square error.\n",
"def mean_square(y_pred, y_true):\n",
" return tf.reduce_sum(tf.pow(y_pred-y_true, 2)) / (2 * n_samples)\n",
" return tf.reduce_mean(tf.square(y_pred - y_true))\n",
"\n",
"# Stochastic Gradient Descent Optimizer.\n",
"optimizer = tf.optimizers.SGD(learning_rate)"
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2 changes: 1 addition & 1 deletion tensorflow_v2/notebooks/3_NeuralNetworks/neural_network.ipynb
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Expand Up @@ -116,7 +116,7 @@
" # Set forward pass.\n",
" def call(self, x, is_training=False):\n",
" x = self.fc1(x)\n",
" x = self.fc2(x)\n"
" x = self.fc2(x)\n",
" x = self.out(x)\n",
" if not is_training:\n",
" # tf cross entropy expect logits without softmax, so only\n",
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