{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Convolutional Neural Networks.ipynb","version":"0.3.2","provenance":[]},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"}},"cells":[{"metadata":{"id":"smeyP5HZqX9c","colab_type":"text"},"cell_type":"markdown","source":["### 数据集准备"]},{"metadata":{"id":"9boh0AnfqX9d","colab_type":"text"},"cell_type":"markdown","source":["MNIST 是一个大规模手写字符数据集,它包含有 55000 个训练样本和 10000 个测试样本。"]},{"metadata":{"id":"llq5tBOpqX9e","colab_type":"text"},"cell_type":"markdown","source":["首先,我们通过 TensorFlow 加载 MNIST 数据集,当然你也可以到 [MNIST 网站](http://yann.lecun.com/exdb/mnist/) 下载。这里已经下载好了"]},{"metadata":{"id":"Ex9biwdiqX9f","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":451},"outputId":"9f2edc6f-182c-4c03-e9e6-e62c37bca1d0","executionInfo":{"status":"ok","timestamp":1553514230479,"user_tz":-480,"elapsed":3516,"user":{"displayName":"张蓬勃","photoUrl":"https://lh4.googleusercontent.com/-sJf5yg1uI-4/AAAAAAAAAAI/AAAAAAAAAAc/lfmBuEmgJs8/s64/photo.jpg","userId":"02631720968128447312"}}},"cell_type":"code","source":["import tensorflow as tf\n","from tensorflow.examples.tutorials.mnist import input_data\n","\n","# 读取数据集,TensorFlow 会直接下载数据并且做预处理\n","mnist = input_data.read_data_sets(\"MNIST_data/\", one_hot=True)\n","mnist"],"execution_count":1,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From :5: read_data_sets (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:260: maybe_download (from tensorflow.contrib.learn.python.learn.datasets.base) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please write your own downloading logic.\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:262: extract_images (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use tf.data to implement this functionality.\n","Extracting MNIST_data/train-images-idx3-ubyte.gz\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:267: extract_labels (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use tf.data to implement this functionality.\n","Extracting MNIST_data/train-labels-idx1-ubyte.gz\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:110: dense_to_one_hot (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use tf.one_hot on tensors.\n","Extracting MNIST_data/t10k-images-idx3-ubyte.gz\n","Extracting MNIST_data/t10k-labels-idx1-ubyte.gz\n","WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/contrib/learn/python/learn/datasets/mnist.py:290: DataSet.__init__ (from tensorflow.contrib.learn.python.learn.datasets.mnist) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Please use alternatives such as official/mnist/dataset.py from tensorflow/models.\n"],"name":"stdout"},{"output_type":"execute_result","data":{"text/plain":["Datasets(train=, validation=, test=)"]},"metadata":{"tags":[]},"execution_count":1}]},{"metadata":{"id":"NpI4Us7TqX9i","colab_type":"text"},"cell_type":"markdown","source":["代码中的 `one_hot=True` 表示会对目标值进行独热编码,即像前面 DIGITS 的挑战中,会将 `0-9` 的标签处理为独热编码对应的 `样本数*10` 的矩阵。"]},{"metadata":{"id":"a_hKPDFxqX9j","colab_type":"text"},"cell_type":"markdown","source":["对数据进行可视化,由于每个字符的原数据已经被处理为`(784,1)`的行向量,所以在绘图前需要将其 reshape 成 `(28,28)` 的矩阵:"]},{"metadata":{"id":"GGFF1ovOqX9k","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":283},"outputId":"7cf9949d-deef-44c2-a845-7a14979fdb81","executionInfo":{"status":"ok","timestamp":1553514231078,"user_tz":-480,"elapsed":4113,"user":{"displayName":"张蓬勃","photoUrl":"https://lh4.googleusercontent.com/-sJf5yg1uI-4/AAAAAAAAAAI/AAAAAAAAAAc/lfmBuEmgJs8/s64/photo.jpg","userId":"02631720968128447312"}}},"cell_type":"code","source":["from matplotlib import pyplot as plt\n","%matplotlib inline\n","\n","plt.imshow(mnist.train.images[1].reshape(28,28), cmap=plt.cm.gray_r)"],"execution_count":2,"outputs":[{"output_type":"execute_result","data":{"text/plain":[""]},"metadata":{"tags":[]},"execution_count":2},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAPoAAAD4CAYAAADFJPs2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nXSQABV0kgP8HIzJj9s1Af20AAAAASUVORK5CYII=\n","text/plain":["
"]},"metadata":{"tags":[]}}]},{"metadata":{"id":"lfmuNcGaqX9m","colab_type":"text"},"cell_type":"markdown","source":["在构建卷积神经网络之前,同样需要先对数据进行处理,这样我们后面才可以执行与上文类似的卷积操作。"]},{"metadata":{"id":"bepsX79tqX9n","colab_type":"text"},"cell_type":"markdown","source":["这里,用 `trX, trY, tex, tey` 分别保存 MNIST 数据集的训练集图片,训练集标签,测试集图片和测试集标签。"]},{"metadata":{"id":"8uCcNKK8qX9o","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":35},"outputId":"c6dd39f1-7bd9-4bab-a05a-ca5847771132","executionInfo":{"status":"ok","timestamp":1553514231081,"user_tz":-480,"elapsed":4113,"user":{"displayName":"张蓬勃","photoUrl":"https://lh4.googleusercontent.com/-sJf5yg1uI-4/AAAAAAAAAAI/AAAAAAAAAAc/lfmBuEmgJs8/s64/photo.jpg","userId":"02631720968128447312"}}},"cell_type":"code","source":["trX,trY,tex,tey = mnist.train.images, mnist.train.labels, mnist.test.images, mnist.test.labels\n","\n","# 将平铺的特征重构成 28×28 的图片像素维度\n","trX = trX.reshape(-1, 28, 28, 1)\n","tex = tex.reshape(-1, 28, 28, 1)\n","\n","trX.shape, tex.shape"],"execution_count":3,"outputs":[{"output_type":"execute_result","data":{"text/plain":["((55000, 28, 28, 1), (10000, 28, 28, 1))"]},"metadata":{"tags":[]},"execution_count":3}]},{"metadata":{"id":"1RvpF-lRqX9r","colab_type":"text"},"cell_type":"markdown","source":["因为使用的是黑白图片,所以颜色通道为 `1`。同时,为了取出所有数据,所以索引为 `-1`。"]},{"metadata":{"id":"enMEfPbDqX9s","colab_type":"text"},"cell_type":"markdown","source":["### 网络搭建"]},{"metadata":{"id":"vvcMhWyCqX9s","colab_type":"text"},"cell_type":"markdown","source":["下面开始构建卷积神经网络。许多实践表明,几个卷积层后跟随一个池化层,再叠上几次相似的结构,同时卷积层的卷积核个数逐渐增大,最后几层通过全连接层连接的网络结构有很强的性能。所以仿制这个思路,一步一步地搭建卷积神经网络。"]},{"metadata":{"id":"YuMC-acFqX9t","colab_type":"text"},"cell_type":"markdown","source":["这一步我们创立了两个占位符,未来对它们进行 `feed` 操作就能对不同数据集进行训练或者预测。"]},{"metadata":{"id":"2wp3gN1pqX9u","colab_type":"code","colab":{}},"cell_type":"code","source":["# 图片是28*28大小,但是数量未知,所以数量的维度为 None\n","x = tf.placeholder(tf.float32, [None, 28, 28, 1]) \n","y = tf.placeholder(tf.int64, [None, 10]) "],"execution_count":0,"outputs":[]},{"metadata":{"id":"dEGa4QmKqX9x","colab_type":"text"},"cell_type":"markdown","source":["考虑到卷积神经网络也需要像神经网络一样首先初始化权值(卷积核),我们利用 `random_normal` 的方式定义一个优化函数,给定任意的矩阵大小,都能按照高斯分布随机优化矩阵数值。其中,`stddev` 是值高斯分布的标准差。\n","\n","注意,因为权值就是我们要训练学习的参数,所以在未来它肯定是会变的。于是,将其转化为变量形式以利于后面的训练。"]},{"metadata":{"id":"fubq3mBRqX9y","colab_type":"code","colab":{}},"cell_type":"code","source":["# 定义一个初始化权重函数\n","def init_weights(shape):\n"," return tf.Variable(tf.random_normal(shape,stddev=0.01))"],"execution_count":0,"outputs":[]},{"metadata":{"id":"S6UXmvqrqX91","colab_type":"text"},"cell_type":"markdown","source":["我们想设计一个卷积神经网络包含两个卷积层,第一个卷积层用 `8` 个 $3\\times3\\times1$ 的卷积核,第二个卷积层用 `10` 个 $3\\times3\\times8$ 的卷积核。\n","\n","那么根据这样大小的 `shape`,我们通过调用之前定义的 `init_weights` 函数就可以初始化我们的卷积核了。"]},{"metadata":{"id":"fy9E_dDeqX92","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"outputId":"764f6948-5f19-4642-d9c5-1262724c0e8d","executionInfo":{"status":"ok","timestamp":1553514231086,"user_tz":-480,"elapsed":4116,"user":{"displayName":"张蓬勃","photoUrl":"https://lh4.googleusercontent.com/-sJf5yg1uI-4/AAAAAAAAAAI/AAAAAAAAAAc/lfmBuEmgJs8/s64/photo.jpg","userId":"02631720968128447312"}}},"cell_type":"code","source":["w1 = init_weights([3, 3, 1, 8]) # 初始化第一层卷积网络,[3,3,1,8] 是 shape,分别指卷积核高度,宽度,深度和数量\n","w2 = init_weights([3, 3, 8, 10]) # 初始化第二层卷积网络"],"execution_count":6,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Colocations handled automatically by placer.\n"],"name":"stdout"}]},{"metadata":{"id":"eX1TDchXqX96","colab_type":"text"},"cell_type":"markdown","source":["接下来,使用 TensorFlow 提供的 `tf.nn.conv2d()` 来搭建两层卷积神经网络。这里我们选用 `relu` 作为激活函数。"]},{"metadata":{"id":"CRoU70kTqX97","colab_type":"code","colab":{}},"cell_type":"code","source":["# 第一层卷积网络,步长均为 1,Same Padding\n","conv1 = tf.nn.relu(tf.nn.conv2d(x, w1, strides=[1, 1, 1, 1], padding='SAME'))\n","\n","# 第二层卷积网络,高度和宽度步长为 2,数量和深度步长为 1,Same Padding\n","conv2 = tf.nn.relu(tf.nn.conv2d(conv1, w2, strides=[1, 2, 2, 1], padding='SAME'))"],"execution_count":0,"outputs":[]},{"metadata":{"id":"aowOEo7lqX99","colab_type":"text"},"cell_type":"markdown","source":["可以看到,第一层卷积网络的输出将作为第二层卷积网络的输入。"]},{"metadata":{"id":"HuB35zRuqX99","colab_type":"text"},"cell_type":"markdown","source":["紧接着两个卷积层,准备接上一个最大池化层,这里使用 TensorFlow 提供的 `max_pool()`。同样要给出池化层的输入,`ksize` 指池化层的过滤器大小,`strides` 是过滤器在输入上的平移步长,`4` 个维度同样对应样本数,高度,宽度,深度,我们也需要指定 `padding` 方式完善池化层的作用。"]},{"metadata":{"id":"yeSYiidjqX9-","colab_type":"code","colab":{}},"cell_type":"code","source":["# 池化层,池化过滤器大小为对深度 1,高度宽度 4,数量 1,步长相同,valid padding 指不需要 padding\n","pool = tf.nn.max_pool(conv2, ksize=[1, 4, 4, 1], strides=[1, 4, 4, 1], padding='VALID')"],"execution_count":0,"outputs":[]},{"metadata":{"id":"HCvnjbzpqX-A","colab_type":"text"},"cell_type":"markdown","source":["之后,想将池化层的输出用于全连接层。但是由于此时输出是个 `4` 维的矩阵,所以需要将其 reshape 成二维矩阵才可用于全连接层。"]},{"metadata":{"id":"AclR6iWiqX-B","colab_type":"code","colab":{}},"cell_type":"code","source":["# 将池化层平铺用于全连接层,计算得到池化层平铺后大小为 None*90\n","pool_shaped = tf.reshape(pool, [-1, 10*3*3])"],"execution_count":0,"outputs":[]},{"metadata":{"id":"WkjUyqz_qX-D","colab_type":"text"},"cell_type":"markdown","source":["注意,我们 `reshape` 的时候第一个 `shape` 我们取 `-1`,是想通过计算卷积 + 池化后一个图片样本的输出矩阵大小,然后让 `-1` 直接指代样本数做为第一维度。\n","\n","对于一个图片样本,原本大小为 `784`,`reshape` 后为 $28\\times28\\times1$,第一个卷积层后大小为 $28\\times28\\times8$,第二个卷积层后大小降为 $14\\times14\\times10$,池化层大小再降为 $3\\times3\\times10$。这样,我们将每一个样本都平铺为一个长 `90` 的向量,那么 `-1` 就可以直接得到样本数的大小构成一个完美的全连接层输入矩阵。"]},{"metadata":{"id":"zfEMKzvKqX-E","colab_type":"text"},"cell_type":"markdown","source":["所以,紧接着就给出一个全连接层。输入为上面的 `pool_shaped`,输出尺寸指定为 `None*30`,同样采用 relu 作为激活函数:"]},{"metadata":{"id":"WpLScmAqqX-F","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":71},"outputId":"b0dcad75-b6c9-46cf-cdfb-caf0b6bf4f49","executionInfo":{"status":"ok","timestamp":1553514231094,"user_tz":-480,"elapsed":4120,"user":{"displayName":"张蓬勃","photoUrl":"https://lh4.googleusercontent.com/-sJf5yg1uI-4/AAAAAAAAAAI/AAAAAAAAAAc/lfmBuEmgJs8/s64/photo.jpg","userId":"02631720968128447312"}}},"cell_type":"code","source":["# 全连接层,输出矩阵 None*30, relu 激活\n","fc1 = tf.layers.dense(pool_shaped, 30, activation=tf.nn.relu)"],"execution_count":10,"outputs":[{"output_type":"stream","text":["WARNING:tensorflow:From :1: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use keras.layers.dense instead.\n"],"name":"stdout"}]},{"metadata":{"id":"HLDo6fzmqX-I","colab_type":"text"},"cell_type":"markdown","source":["由于最终是对 10 个不同的字符进行分类,为了能计算损失,这里还需要再加一个全连接层,把上面的 `None*30` 输出处理成 `None*10`。最后一层了,这里不再需要激活函数。"]},{"metadata":{"id":"qTPJeDUMqX-J","colab_type":"code","colab":{}},"cell_type":"code","source":["# 输出预测概率,即与 y 大小相同的预测向量,不需要激活\n","logits = tf.layers.dense(fc1, 10, activation=None)"],"execution_count":0,"outputs":[]},{"metadata":{"id":"D4pQ1zXFqX-M","colab_type":"text"},"cell_type":"markdown","source":["### 损失函数及优化器"]},{"metadata":{"id":"UqHkWnIeqX-N","colab_type":"text"},"cell_type":"markdown","source":["TensorFlow 号称宇宙第一深度学习框架,所以直接给出了 Softmax 函数 + 交叉熵二合一的类 `tf.nn.softmax_cross_entropy_with_logits_v2()`。其中,`logits` 为输出的各类概率,`y` 为数据本身的真实标签,最后可计算出损失值。"]},{"metadata":{"id":"eWELYHj-qX-O","colab_type":"code","colab":{}},"cell_type":"code","source":["# 交叉熵损失函数,reduce_mean 的目的是对每个样本的计算结果求平均\n","loss = tf.reduce_mean(tf.nn.softmax_cross_entropy_with_logits_v2(logits=logits, labels=y))"],"execution_count":0,"outputs":[]},{"metadata":{"id":"FOkkZg7MqX-R","colab_type":"text"},"cell_type":"markdown","source":["最后,使用 Adam 优化器求解,这一点就不再赘述了:"]},{"metadata":{"id":"-rkNHELfqX-S","colab_type":"code","colab":{}},"cell_type":"code","source":["optimizer = tf.train.AdamOptimizer() # Adam 优化器\n","training_op = optimizer.minimize(loss) # 求解极小值"],"execution_count":0,"outputs":[]},{"metadata":{"id":"JnrP2_tRqX-U","colab_type":"text"},"cell_type":"markdown","source":["为了方便,这里再定义一下准确率的计算方法。`tf.nn.in_top_k()` 顾名思义,把概率最高的作为分类类别,而 `tf.cast()` 用于转换类型。"]},{"metadata":{"id":"SgQOm9NRqX-U","colab_type":"code","colab":{}},"cell_type":"code","source":["target = tf.argmax(y, 1) # 目标输出\n","acc = tf.reduce_mean(tf.cast(tf.nn.in_top_k(logits, target, 1), tf.float32)) # 准确率"],"execution_count":0,"outputs":[]},{"metadata":{"id":"QQ39g5YKqX-X","colab_type":"text"},"cell_type":"markdown","source":["### 训练模型"]},{"metadata":{"id":"EaA3knM9qX-X","colab_type":"text"},"cell_type":"markdown","source":["一切准备就绪,这里继续采用 Mini-batch 的方法提高训练效率。建立会话后初始化所有变量,并执行学习过程。同时,还可以绘制出动态的学习曲线变化图,你会看到准确率一点一点上升,成就感爆棚。"]},{"metadata":{"id":"-zzopL16qX-Z","colab_type":"text"},"cell_type":"markdown","source":["
注意:下方代码单元格需要在 GPU 环境中才能执行。
"]},{"metadata":{"id":"bdVW-mDuqX-a","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":500},"outputId":"834e20aa-d756-423e-ec31-854a8a78e6de"},"cell_type":"code","source":["from IPython import display # 引入 display 模块目的方便程序运行展示\n","\n","batch_size = 64 # 批量大小\n","\n","with tf.Session() as sess:\n"," tf.global_variables_initializer().run()\n"," print('训练开始,请耐心等候')\n"," \n"," for epoch in range(2):\n"," train_acc_list = [] # 为了绘图\n"," test_acc_list = [] # 为了绘图\n"," train_batch = zip(range(0, len(trX), batch_size), range(batch_size, len(trX) + 1, batch_size)) # 获取批量\n"," i = 1\n"," for start, end in train_batch:\n"," sess.run(training_op, feed_dict={x: trX[start:end], y: trY[start:end]}) # 传入数据\n"," train_acc = acc.eval(feed_dict={x: trX[start:end], y: trY[start:end]}) # 训练集准确率\n"," test_acc = acc.eval(feed_dict={x: tex, y: tey}) # 测试集准确率\n"," \n"," # 以下是绘图代码\n"," train_acc_list.append(train_acc)\n"," test_acc_list.append(test_acc)\n"," \n"," display.clear_output(wait=True)\n"," plt.style.use('ggplot')\n"," plt.figure(figsize=(12, 8))\n"," plt.plot(train_acc_list, label='train_accuracy')\n"," plt.plot(test_acc_list, label='test_accuracy')\n"," plt.legend()\n"," plt.title(\"epoch: {}, batch:{}, train_accuracy: {}, test_accuracy: {}\".format(epoch+1, i, train_acc, test_acc))\n"," plt.show()\n"," i+=1"],"execution_count":0,"outputs":[{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAswAAAHjCAYAAAA3w0lkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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3zwwQdqw3fu3InJkydrjeP8+fO4cuUKpFIpdu3ahczMTPTs2RONGzeGWCzG1atXUVhYiOjo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\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sO8KKGK+xOP0pJ0e5WCoMFCwMM9sBsB1NDtgBHNfKRgnH9xkiU0hLDi5pFDBDdTijUTLa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\n","text/plain":["
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