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@BenjaminFraser
Created September 28, 2021 07:21
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Activation_examples.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Activation_examples.ipynb",
"provenance": [],
"collapsed_sections": [],
"authorship_tag": "ABX9TyOofBNJQOVAYSQQihRIYoXa",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/BenjaminFraser/490f92dbc00fc7a649591751ed0195d2/activation_examples.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "u6CiY18YwTDM"
},
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"from scipy.special import erfc"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "1QI1cVwe0-tF"
},
"source": [
"from scipy.special import erfc"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "aXxjZ2nM1Bq0"
},
"source": [
"# scales for SELU activation\n",
"alpha_0_1 = (-np.sqrt(2 / np.pi) / (erfc(1/np.sqrt(2)) * np.exp(1/2) - 1))\n",
"scale_0_1 = ((1 - erfc(1 / np.sqrt(2)) * np.sqrt(np.e)) * \n",
" np.sqrt(2 * np.pi) * (2 * erfc(np.sqrt(2))*np.e**2 + \n",
" np.pi*erfc(1/np.sqrt(2))**2*np.e - \n",
" 2*(2+np.pi)*erfc(1/np.sqrt(2))*np.sqrt(np.e)+np.pi+2)**(-1/2))"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "qvFCYsbpwZRG"
},
"source": [
"def sigmoid_activation(x):\n",
" return 1 / (1 + np.exp(-x))\n",
"\n",
"def tanh_activation(x):\n",
" return np.tanh(x)\n",
"\n",
"def relu_activation(x):\n",
" return np.maximum(0, x)\n",
"\n",
"def leaky_relu_activation(x, alpha=0.1):\n",
" return np.maximum(x * alpha, x)\n",
"\n",
"def elu_activation(x, alpha=0.6):\n",
" return np.where(x < 0, alpha * (np.exp(x) - 1), x)\n",
"\n",
"def selu_activation(x, scale=scale_0_1, alpha=alpha_0_1):\n",
" return scale * elu_activation(x, alpha)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "dpoIJu_PwcZS"
},
"source": [
"x_range = np.arange(-5, 6, 0.01)\n",
"y_sig = sigmoid_activation(x_range)\n",
"y_tanh = tanh_activation(x_range)\n",
"y_relu = relu_activation(x_range)\n",
"y_lrelu = leaky_relu_activation(x_range)\n",
"y_elu = elu_activation(x_range)\n",
"y_selu = selu_activation(x_range)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 350
},
"id": "31CGVKeNzlaa",
"outputId": "1f2e83f9-8e9a-4467-d82f-2829e71c27a0"
},
"source": [
"plt.figure(figsize=(7,5))\n",
"plt.plot(x_range, y_sig, color='tab:blue', label='Sigmoid')\n",
"plt.legend(loc='best')\n",
"plt.grid(alpha=0.5)\n",
"plt.xlabel(\"x\", weight='bold')\n",
"plt.ylabel(\"y\", weight='bold')\n",
"plt.title(\"Sigmoid Activation\", weight=\"bold\")\n",
"plt.show()"
],
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
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\n",
"text/plain": [
"<Figure size 504x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 350
},
"id": "WKoxEow-zuWx",
"outputId": "00968bfe-3076-4f70-ee2a-4ec620f736c8"
},
"source": [
"plt.figure(figsize=(7,5))\n",
"plt.plot(x_range, y_tanh, color='tab:orange', label='Tanh')\n",
"plt.legend(loc='best')\n",
"plt.grid(alpha=0.5)\n",
"plt.xlabel(\"x\", weight='bold')\n",
"plt.ylabel(\"y\", weight='bold')\n",
"plt.title(\"Tanh Activation\", weight=\"bold\")\n",
"plt.show()"
],
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 504x360 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 458
},
"id": "0YPHO1kvxQr9",
"outputId": "e85781f3-f84f-42e9-f2ee-a654f4aa9fcc"
},
"source": [
"plt.figure(figsize=(10,7))\n",
"plt.plot(x_range, y_relu, color='tab:blue', label='ReLU')\n",
"plt.plot(x_range, y_lrelu, color='tab:green', label='Leaky ReLU')\n",
"plt.plot(x_range, y_elu, color='tab:red', label='ELU')\n",
"plt.plot(x_range, y_selu, color='tab:orange', label='SELU')\n",
"plt.legend(loc='best')\n",
"plt.xlim(-4, 4)\n",
"plt.ylim(-2, 4.0)\n",
"plt.grid(alpha=0.5)\n",
"plt.xlabel(\"x\", weight='bold')\n",
"plt.ylabel(\"y\", weight='bold')\n",
"plt.title(\"ReLU variants\", weight=\"bold\")\n",
"plt.show()"
],
"execution_count": null,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 720x504 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "GXmzAd19xzqt"
},
"source": [
""
],
"execution_count": null,
"outputs": []
}
]
}
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