variable

1393493670 · Mar 8, 2019 · e3abf2d · e3abf2d
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diff --git a/1-Introduction/.ipynb_checkpoints/variable-checkpoint.ipynb b/1-Introduction/.ipynb_checkpoints/variable-checkpoint.ipynb
@@ -0,0 +1,129 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Variables are manipulated via the tf.Variable class.\n",
+    "# A tf.Variable represents a tensor whose value can be changed by running ops on it.\n",
+    "# Specific ops allow you to read and modify the values of this tensor.\n",
+    "\n",
+    "## Creaging a Variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor: <tf.Variable 'my/Variable:0' shape=() dtype=int32, numpy=1>\n",
+      "value: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "with tf.name_scope(\"my\"):\n",
+    "    variable = tf.Variable(1)\n",
+    "print(\"tensor:\", variable)\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Using Variables\n",
+    "\n",
+    "# To use the value of a tf.Variable in a TensorFlow graph, simply treat it like a normal tf.Tensor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "value: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "variable = variable + 1\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Using Variables\n",
+    "\n",
+    "# To use the value of a tf.Variable in a TensorFlow graph, simply treat it like a normal tf.Tensor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "value: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "variable = tf.Variable(2)\n",
+    "variable.assign_add(1)\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  }
+ ],
+ "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/1-Introduction/.ipynb_checkpoints/未命名-checkpoint.ipynb b/1-Introduction/.ipynb_checkpoints/未命名-checkpoint.ipynb
diff --git a/1-Introduction/variable.ipynb b/1-Introduction/variable.ipynb
@@ -0,0 +1,129 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import tensorflow as tf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Variables are manipulated via the tf.Variable class.\n",
+    "# A tf.Variable represents a tensor whose value can be changed by running ops on it.\n",
+    "# Specific ops allow you to read and modify the values of this tensor.\n",
+    "\n",
+    "## Creaging a Variable"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tensor: <tf.Variable 'my/Variable:0' shape=() dtype=int32, numpy=1>\n",
+      "value: 1\n"
+     ]
+    }
+   ],
+   "source": [
+    "with tf.name_scope(\"my\"):\n",
+    "    variable = tf.Variable(1)\n",
+    "print(\"tensor:\", variable)\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Using Variables\n",
+    "\n",
+    "# To use the value of a tf.Variable in a TensorFlow graph, simply treat it like a normal tf.Tensor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "value: 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "variable = variable + 1\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## Using Variables\n",
+    "\n",
+    "# To use the value of a tf.Variable in a TensorFlow graph, simply treat it like a normal tf.Tensor"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "value: 3\n"
+     ]
+    }
+   ],
+   "source": [
+    "variable = tf.Variable(2)\n",
+    "variable.assign_add(1)\n",
+    "print(\"value:\", variable.numpy())"
+   ]
+  }
+ ],
+ "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/README.md b/README.md
@@ -4,3 +4,4 @@ This tutorial was designed for easily diving into TensorFlow2.0.  it includes bo
 
 #### 1 - Introduction
 - **Hello World** ([notebook](1-Introduction/helloworld.ipynb)) ([code](1-Introduction/helloworld.py)). Very simple example to learn how to print "hello world" using TensorFlow.
+- varible** ([notebook](1-Introduction/variable.ipynb)) ([code](1-Introduction/variable.py)). Learn to use variable in tensorflow.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4,3 +4,4 @@ This tutorial was designed for easily diving into TensorFlow2.0. it includes bo

		#### 1 - Introduction
		- Hello World ([notebook](1-Introduction/helloworld.ipynb)) ([code](1-Introduction/helloworld.py)). Very simple example to learn how to print "hello world" using TensorFlow.
		- varible** ([notebook](1-Introduction/variable.ipynb)) ([code](1-Introduction/variable.py)). Learn to use variable in tensorflow.