From ab97cad3720e09a2a01f1006dac54f4fe724ee6c Mon Sep 17 00:00:00 2001 From: Gerson Carlos Date: Mon, 20 Jul 2020 08:59:02 -0300 Subject: [PATCH] Fixing decay call at plot_learning_rate method --- tensorflow-mnist-tutorial/keras_02_mnist_dense.ipynb | 4 ++-- .../keras_03_mnist_dense_lrdecay_dropout.ipynb | 4 ++-- tensorflow-mnist-tutorial/keras_04_mnist_convolutional.ipynb | 4 ++-- tensorflow-mnist-tutorial/keras_05_mnist_batch_norm.ipynb | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/tensorflow-mnist-tutorial/keras_02_mnist_dense.ipynb b/tensorflow-mnist-tutorial/keras_02_mnist_dense.ipynb index 13145e1..7bbfd14 100644 --- a/tensorflow-mnist-tutorial/keras_02_mnist_dense.ipynb +++ b/tensorflow-mnist-tutorial/keras_02_mnist_dense.ipynb @@ -173,7 +173,7 @@ "\n", "def plot_learning_rate(lr_func, epochs):\n", " xx = np.arange(epochs+1, dtype=np.float)\n", - " y = [lr_decay(x) for x in xx]\n", + " y = [lr_func(x) for x in xx]\n", " fig, ax = plt.subplots(figsize=(9, 6))\n", " ax.set_xlabel('epochs')\n", " ax.set_title('Learning rate\\ndecays from {:0.3g} to {:0.3g}'.format(y[0], y[-2]))\n", @@ -537,4 +537,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/tensorflow-mnist-tutorial/keras_03_mnist_dense_lrdecay_dropout.ipynb b/tensorflow-mnist-tutorial/keras_03_mnist_dense_lrdecay_dropout.ipynb index 15c0b03..dc11cae 100644 --- a/tensorflow-mnist-tutorial/keras_03_mnist_dense_lrdecay_dropout.ipynb +++ b/tensorflow-mnist-tutorial/keras_03_mnist_dense_lrdecay_dropout.ipynb @@ -181,7 +181,7 @@ "\n", "def plot_learning_rate(lr_func, epochs):\n", " xx = np.arange(epochs+1, dtype=np.float)\n", - " y = [lr_decay(x) for x in xx]\n", + " y = [lr_func(x) for x in xx]\n", " fig, ax = plt.subplots(figsize=(9, 6))\n", " ax.set_xlabel('epochs')\n", " ax.set_title('Learning rate\\ndecays from {:0.3g} to {:0.3g}'.format(y[0], y[-2]))\n", @@ -748,4 +748,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/tensorflow-mnist-tutorial/keras_04_mnist_convolutional.ipynb b/tensorflow-mnist-tutorial/keras_04_mnist_convolutional.ipynb index 2997ad1..a1bbeb1 100644 --- a/tensorflow-mnist-tutorial/keras_04_mnist_convolutional.ipynb +++ b/tensorflow-mnist-tutorial/keras_04_mnist_convolutional.ipynb @@ -173,7 +173,7 @@ "\n", "def plot_learning_rate(lr_func, epochs):\n", " xx = np.arange(epochs+1, dtype=np.float)\n", - " y = [lr_decay(x) for x in xx]\n", + " y = [lr_func(x) for x in xx]\n", " fig, ax = plt.subplots(figsize=(9, 6))\n", " ax.set_xlabel('epochs')\n", " ax.set_title('Learning rate\\ndecays from {:0.3g} to {:0.3g}'.format(y[0], y[-2]))\n", @@ -579,4 +579,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file diff --git a/tensorflow-mnist-tutorial/keras_05_mnist_batch_norm.ipynb b/tensorflow-mnist-tutorial/keras_05_mnist_batch_norm.ipynb index 93481b5..dec291e 100644 --- a/tensorflow-mnist-tutorial/keras_05_mnist_batch_norm.ipynb +++ b/tensorflow-mnist-tutorial/keras_05_mnist_batch_norm.ipynb @@ -163,7 +163,7 @@ "\n", "def plot_learning_rate(lr_func, epochs):\n", " xx = np.arange(epochs+1, dtype=np.float)\n", - " y = [lr_decay(x) for x in xx]\n", + " y = [lr_func(x) for x in xx]\n", " fig, ax = plt.subplots(figsize=(9, 6))\n", " ax.set_xlabel('epochs')\n", " ax.set_title('Learning rate\\ndecays from {:0.3g} to {:0.3g}'.format(y[0], y[-2]))\n", @@ -583,4 +583,4 @@ }, "nbformat": 4, "nbformat_minor": 4 -} +} \ No newline at end of file