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| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 9, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [ | ||
| "from ipywidgets import interact\n", | ||
| "import ipywidgets as widgets\n", | ||
| "import matplotlib.pyplot as plt\n", | ||
| "%matplotlib inline\n", | ||
| "import numpy as np\n", | ||
| "plt.rcParams[\"figure.figsize\"] = (10,10)" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 10, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "81390bb46e594df08192fdf28b281ae6", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "interactive(children=(FloatSlider(value=0.0, description='weight', max=5.0, min=-5.0), FloatSlider(value=0.0, …" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "def plot_relu_1d(weight, bias):\n", | ||
| " x = np.linspace(-5, 5, 32)\n", | ||
| " y = np.maximum(weight*x+bias, 0)\n", | ||
| " plt.plot(x, y)\n", | ||
| " \n", | ||
| "interact(plot_relu_1d, weight=(-5., 5.), bias=(-5., 5.));" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 11, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "ada9fa218d434904af5a75ac29a1389a", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "interactive(children=(FloatSlider(value=0.0, description='weight1', max=5.0, min=-5.0), FloatSlider(value=0.0,…" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "def plot_relu_2d(weight1, weight2, bias):\n", | ||
| " x = np.linspace(-5, 5, 32)\n", | ||
| " y = np.linspace(-5, 5, 32)\n", | ||
| " xv, yv = np.meshgrid(x, y)\n", | ||
| " Z = np.maximum(weight1*xv+weight2*yv+bias, 0)\n", | ||
| " plt.imshow(Z)\n", | ||
| " plt.colorbar()\n", | ||
| " \n", | ||
| "interact(plot_relu_2d, weight1=(-5., 5.), weight2=(-5., 5.), bias=(-5., 5.));" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 12, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "01fc5d3895b94f66af3232c8446e6c20", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "interactive(children=(FloatSlider(value=0.0, description='weight', max=5.0, min=-5.0), FloatSlider(value=0.0, …" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "def plot_mish_1d(weight, bias):\n", | ||
| " x = np.linspace(-5, 5, 32)\n", | ||
| " inputs = weight*x+bias\n", | ||
| " y = inputs * np.tanh(np.log(1+np.exp(inputs)))\n", | ||
| " plt.plot(x, y)\n", | ||
| " \n", | ||
| "interact(plot_mish_1d, weight=(-5., 5.), bias=(-5., 5.));" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": 13, | ||
| "metadata": {}, | ||
| "outputs": [ | ||
| { | ||
| "data": { | ||
| "application/vnd.jupyter.widget-view+json": { | ||
| "model_id": "91880ce6e4ea4bf7b935837607a31cad", | ||
| "version_major": 2, | ||
| "version_minor": 0 | ||
| }, | ||
| "text/plain": [ | ||
| "interactive(children=(FloatSlider(value=0.0, description='weight1', max=5.0, min=-5.0), FloatSlider(value=0.0,…" | ||
| ] | ||
| }, | ||
| "metadata": {}, | ||
| "output_type": "display_data" | ||
| } | ||
| ], | ||
| "source": [ | ||
| "def plot_mish_2d(weight1, weight2, bias):\n", | ||
| " x = np.linspace(-5, 5, 32)\n", | ||
| " y = np.linspace(-5, 5, 32)\n", | ||
| " xv, yv = np.meshgrid(x, y)\n", | ||
| " inputs = weight1*xv+weight2*yv+bias\n", | ||
| " Z = inputs * np.tanh(np.log(1+np.exp(inputs)))\n", | ||
| " plt.imshow(Z)\n", | ||
| " plt.colorbar()\n", | ||
| " \n", | ||
| "interact(plot_mish_2d, weight1=(-5., 5.), weight2=(-5., 5.), bias=(-5., 5.));" | ||
| ] | ||
| }, | ||
| { | ||
| "cell_type": "code", | ||
| "execution_count": null, | ||
| "metadata": {}, | ||
| "outputs": [], | ||
| "source": [] | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 3 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython3", | ||
| "version": "3.7.3" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 2 | ||
| } |