{"id":2336,"date":"2025-05-16T18:00:08","date_gmt":"2025-05-16T10:00:08","guid":{"rendered":"https:\/\/www.wunen.com\/index.php\/2025\/05\/16\/%e5%9f%ba%e4%ba%8e%e5%8d%b7%e7%a7%af%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e7%9a%84%e4%bd%93%e8%82%b2%e8%bf%90%e5%8a%a8%e9%a1%b9%e7%9b%ae%e5%88%86%e7%b1%bb%e8%af%86%e5%88%ab%e7%b3%bb%e7%bb%9f\/"},"modified":"2025-05-16T18:00:08","modified_gmt":"2025-05-16T10:00:08","slug":"%e5%9f%ba%e4%ba%8e%e5%8d%b7%e7%a7%af%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e7%9a%84%e4%bd%93%e8%82%b2%e8%bf%90%e5%8a%a8%e9%a1%b9%e7%9b%ae%e5%88%86%e7%b1%bb%e8%af%86%e5%88%ab%e7%b3%bb%e7%bb%9f","status":"publish","type":"post","link":"http:\/\/www.wunen.com\/index.php\/2025\/05\/16\/%e5%9f%ba%e4%ba%8e%e5%8d%b7%e7%a7%af%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e7%9a%84%e4%bd%93%e8%82%b2%e8%bf%90%e5%8a%a8%e9%a1%b9%e7%9b%ae%e5%88%86%e7%b1%bb%e8%af%86%e5%88%ab%e7%b3%bb%e7%bb%9f\/","title":{"rendered":"\u57fa\u4e8e\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf"},"content":{"rendered":"<div class=\"article_content clearfix\" id=\"article_content\">\n <link href=\"https:\/\/csdnimg.cn\/release\/blogv2\/dist\/mdeditor\/css\/editerView\/kdoc_html_views-1a98987dfd.css\" rel=\"stylesheet\"\/>\n <link href=\"https:\/\/csdnimg.cn\/release\/blogv2\/dist\/mdeditor\/css\/editerView\/ck_htmledit_views-704d5b9767.css\" rel=\"stylesheet\"\/>\n<div class=\"htmledit_views tomorrow-night-eighties\" id=\"content_views\">\n<blockquote>\n<p>\n    <span style=\"color:#fe2c24;\"><br \/>\n     <strong><br \/>\n      \u6e29\u99a8\u63d0\u793a\uff1a\u6587\u672b\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f QQ \u540d\u7247 \ud83d\ude42<br \/>\n     <\/strong><br \/>\n    <\/span>\n   <\/p>\n<\/blockquote>\n<h2>\n   <a name=\"t0\"><br \/>\n   <\/a><br \/>\n   1. \u9879\u76ee\u7b80\u4ecb<br \/>\n  <\/h2>\n<p>\n   \u968f\u7740\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684\u5feb\u901f\u53d1\u5c55\uff0c\u5229\u7528\u5148\u8fdb\u7684\u56fe\u50cf\u5904\u7406\u6280\u672f\u5bf9\u4f53\u80b2\u8fd0\u52a8\u8fdb\u884c\u667a\u80fd\u5206\u7c7b\u4e0e\u8bc6\u522b\u5df2\u6210\u4e3a\u7814\u7a76\u70ed\u70b9\u3002\u4f20\u7edf\u7684\u8fd0\u52a8\u5206\u6790\u65b9\u6cd5\u901a\u5e38\u4f9d\u8d56\u4e8e\u4eba\u5de5\u89c2\u5bdf\u548c\u8bb0\u5f55\uff0c\u8017\u65f6\u8017\u529b\u4e14\u5bb9\u6613\u51fa\u9519\u3002\u672c\u7cfb\u7edf\u5229\u7528 TensorFlow\u3001Keras \u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u4ee5VGG16\u548c InceptionV3 \u4e3a base \u6a21\u578b\u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\uff0c\u5229\u7528\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u6570\u636e\u96c6\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u4e0e\u9a8c\u8bc1\uff0c\u9884\u6d4b\u51c6\u786e\u7387\u8fbe\u5230<br \/>\n   <strong><br \/>\n    87.2%<br \/>\n   <\/strong><br \/>\n   \uff0c\u4f7f\u7528Flask\u6846\u67b6\u7ed3\u5408Bootstrap\u524d\u7aef\u6280\u672f\u642d\u5efa\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7684\u5206\u6790\u9884\u6d4b\u5e73\u53f0\uff0c\u80fd\u591f\u4ece\u5927\u91cf\u7684\u56fe\u50cf\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u548c\u63d0\u53d6\u7279\u5f81\uff0c\u4ece\u800c\u5b9e\u73b0\u9ad8\u6548\u3001\u51c6\u786e\u7684\u5206\u7c7b\u3002\n  <\/p>\n<p>\n   <strong><br \/>\n    <span style=\"color:#fe2c24;\"><br \/>\n     B\u7ad9\u7cfb\u7edf\u6f14\u793a\u89c6\u9891\uff1a<br \/>\n    <\/span><br \/>\n   <\/strong><br \/>\n   <a href=\"https:\/\/www.bilibili.com\/video\/BV13ox5eHEsa\/\" rel=\"nofollow\" title=\"\u57fa\u4e8e\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf_\u54d4\u54e9\u54d4\u54e9_bilibili\"><br \/>\n    \u57fa\u4e8e\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf_\u54d4\u54e9\u54d4\u54e9_bilibili<br \/>\n   <\/a>\n  <\/p>\n<div class=\"csdn-video-box\" data-report-view='{\"spm\":\"3001.10261\",\"extra\":{\"id\":\"KJ04TAZG-1727321288451\"}}'>\n   <iframe allowfullscreen=\"true\" data-mediaembed=\"bilibili\" frameborder=\"0\" id=\"KJ04TAZG-1727321288451\" src=\"https:\/\/player.bilibili.com\/player.html?aid=113201698049416\"><br \/>\n   <\/iframe><\/p>\n<p>\n    \u57fa\u4e8e\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf\n   <\/p>\n<\/p><\/div>\n<h2>\n   2.\u00a0\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u6570\u636e\u96c6\u8bfb\u53d6\u4e0e\u9884\u5904\u7406<br \/>\n  <\/h2>\n<p>\n   \u4f7f\u7528\u00a0Tensorflow \u7684\u00a0tf.keras.preprocessing.image_dataset_from_directory \u51fd\u6570\u4ece\u6570\u636e\u96c6\u6587\u4ef6\u5939\u4e2d\u52a0\u8f7d\u56fe\u7247\u6570\u636e\uff1a\n  <\/p>\n<pre><code class=\"language-python\">def image_generator(height,width):\n    train_datagen = ImageDataGenerator(\n            rescale=1.\/255.,\n            validation_split=0.2,\n            rotation_range=10,\n            width_shift_range=0.05,\n            height_shift_range=0.05,\n            brightness_range=[0.5, 1.5]\n    )\n    train_ds = train_datagen.flow_from_directory(\n            '.\/dataset\/train',\n            batch_size=batch_size,\n            shuffle=True,\n            class_mode='categorical',\n            target_size=(height, width),\n            classes=class_map\n    )\n    \n    valid_datagen = ImageDataGenerator(rescale=1.\/255.)\n    val_ds = valid_datagen.flow_from_directory(\n            '.\/dataset\/valid',\n            class_mode='categorical',\n            target_size=(height, width),\n            batch_size=batch_size,\n            classes=class_map\n    )\n    return train_ds, val_ds<\/code><\/pre>\n<p>\n   \u6570\u636e\u96c6\u4e00\u5171\u6709100\u4e2a\u7c7b\u522b\uff0c\u6bcf\u4e2a\u7c7b\u522b\u5305\u542b 117 \u5f20\u56fe\u7247\uff0c\u6837\u672c\u5747\u8861\u3002\u5bf9\u52a0\u8f7d\u7684\u6570\u636e\u96c6\u8fdb\u884c\u6837\u672c\u7684\u53ef\u89c6\u5316\uff1a\n  <\/p>\n<pre><code class=\"language-python\">fig, ax = plt.subplots(2, 6, figsize=(20, 8))\nfig.suptitle(\"\u4e0d\u540c\u7c7b\u578b\u8fd0\u52a8\u9879\u76ee\u7684\u6837\u672c\u53ef\u89c6\u5316\", fontsize=18)\nfor k in range(12):\n    images, labels = train_ds.next()\n    i, j = k\/\/6, k%6\n    ax[i, j].imshow(images[0])\n\n    index = np.argmax(labels[i])  # get image index\n    class_name = class_name_dict[int(index)]\n    ax[i, j].set_title(class_name, color= 'red', fontsize= 16)\n        \n    ax[i, j].axis('off')\nplt.show()<\/code><\/pre>\n<\/p>\n<h2 id=\"4.-\u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u6784\u5efa\">\n   3. \u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u6784\u5efa\u4e0e\u8bad\u7ec3<br \/>\n  <\/h2>\n<p>\n   \u6df1\u5ea6\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08Deep Convolutional Neural Networks, CNNs\uff09\u662f\u4e00\u79cd\u4e13\u95e8\u8bbe\u8ba1\u7528\u4e8e\u5904\u7406\u5177\u6709\u7f51\u683c\u7ed3\u6784\u7684\u6570\u636e\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u5982\u56fe\u50cf\u3002\u5b83\u4eec\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u5206\u7c7b\u3001\u5206\u5272\u4ee5\u53ca\u7269\u4f53\u68c0\u6d4b\u7b49\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u4e2d\u53d6\u5f97\u4e86\u5de8\u5927\u6210\u529f\uff0c\u5c24\u5176\u662f\u5728\u56fe\u50cf\u8bc6\u522b\u3001\u76ee\u6807\u68c0\u6d4b\u548c\u56fe\u50cf\u751f\u6210\u7b49\u65b9\u9762\u3002\n  <\/p>\n<p>\n   \u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u7684\u4e3b\u8981\u5c42\u7ed3\u6784\u5305\u62ec\uff1a\n  <\/p>\n<ul>\n<li>\n<p>\n     <strong><br \/>\n      \u5377\u79ef\u5c42<br \/>\n     <\/strong><br \/>\n     \uff1a\u8fd9\u662fCNN\u7684\u6838\u5fc3\u90e8\u5206\u3002\u5b83\u4f7f\u7528\u4e00\u7ec4\u53ef\u5b66\u4e60\u7684\u5c0f\u578b\u8fc7\u6ee4\u5668\uff08\u901a\u5e38\u79f0\u4e3a\u5185\u6838\u6216\u6ee4\u6ce2\u5668\uff09\uff0c\u8fd9\u4e9b\u8fc7\u6ee4\u5668\u5728\u8f93\u5165\u6570\u636e\u4e0a\u6ed1\u52a8\u4ee5\u68c0\u6d4b\u5c40\u90e8\u7279\u5f81\uff0c\u5982\u8fb9\u7f18\u6216\u7eb9\u7406\u3002\u6bcf\u4e2a\u8fc7\u6ee4\u5668\u4f1a\u4e0e\u8f93\u5165\u6570\u636e\u7684\u4e0d\u540c\u90e8\u5206\u8fdb\u884c\u5377\u79ef\u8fd0\u7b97\uff0c\u4ee5\u4ea7\u751f\u7279\u5f81\u56fe\u3002\n    <\/p>\n<\/li>\n<li>\n<p>\n     <strong><br \/>\n      \u6fc0\u6d3b\u51fd\u6570<br \/>\n     <\/strong><br \/>\n     \uff1a\u5377\u79ef\u64cd\u4f5c\u4e4b\u540e\u901a\u5e38\u4f1a\u5e94\u7528\u4e00\u4e2a\u975e\u7ebf\u6027\u6fc0\u6d3b\u51fd\u6570\uff0c\u5982ReLU\uff08Rectified Linear Unit\uff09\uff0c\u4ee5\u5f15\u5165\u975e\u7ebf\u6027\u5e76\u589e\u5f3a\u6a21\u578b\u7684\u8868\u8fbe\u80fd\u529b\u3002\n    <\/p>\n<\/li>\n<li>\n<p>\n     <strong><br \/>\n      \u6c60\u5316\u5c42<br \/>\n     <\/strong><br \/>\n     \uff1a\u901a\u5e38\u4f4d\u4e8e\u4e00\u7cfb\u5217\u5377\u79ef\u5c42\u4e4b\u540e\uff0c\u7528\u4e8e\u964d\u4f4e\u6570\u636e\u7684\u7a7a\u95f4\u7ef4\u5ea6\uff0c\u4ece\u800c\u51cf\u5c11\u540e\u7eed\u8ba1\u7b97\u91cf\uff0c\u5e76\u4e14\u6709\u52a9\u4e8e\u63d0\u53d6\u5e73\u79fb\u4e0d\u53d8\u7279\u5f81\u3002\u6700\u5e38\u89c1\u7684\u6c60\u5316\u65b9\u6cd5\u662f\u6700\u5927\u6c60\u5316\uff08Max Pooling\uff09\uff0c\u5b83\u9009\u62e9\u6bcf\u4e2a\u533a\u57df\u4e2d\u7684\u6700\u5927\u503c\u4f5c\u4e3a\u8f93\u51fa\u3002\n    <\/p>\n<\/li>\n<\/ul>\n<h3 id=\"4.1-VGG16-Base-Model\">\n   3.1 VGG16 Base Model<br \/>\n  <\/h3>\n<p>\n   VGG\u7f51\u7edc\u88ab\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5206\u7c7b\u3001\u76ee\u6807\u68c0\u6d4b\u3001\u8bed\u4e49\u5206\u5272\u7b49\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u4e2d\uff0c\u5e76\u4e14\u5176\u7f51\u7edc\u7ed3\u6784\u7684\u7b80\u5355\u6027\u548c\u6613\u5b9e\u73b0\u6027\u4f7f\u5f97VGG\u6210\u4e3a\u4e86\u6df1\u5ea6\u5b66\u4e60\u9886\u57df\u7684\u7ecf\u5178\u6a21\u578b\u4e4b\u4e00\u3002VGG16\u548cVGG19\u7f51\u7edc\u67b6\u6784\u975e\u5e38\u76f8\u4f3c\uff0c\u90fd\u7531\u591a\u4e2a\u5377\u79ef\u5c42\u548c\u6c60\u5316\u5c42\u4ea4\u66ff\u5806\u53e0\u800c\u6210\uff0c\u6700\u540e\u4f7f\u7528\u5168\u8fde\u63a5\u5c42\u8fdb\u884c\u5206\u7c7b\u3002\u4e24\u8005\u7684\u533a\u522b\u5728\u4e8e\u7f51\u7edc\u7684\u6df1\u5ea6\u548c\u53c2\u6570\u91cf\uff0cVGG19\u76f8\u5bf9\u4e8eVGG16\u589e\u52a0\u4e863\u4e2a\u5377\u79ef\u5c42\u548c\u4e00\u4e2a\u5168\u8fde\u63a5\u5c42\uff0c\u53c2\u6570\u91cf\u4e5f\u66f4\u591a\u3002\n  <\/p>\n<p class=\"img-center\">\n<p>\n   \u4ee5\u9884\u8bad\u7ec3\u7684\u00a0VGG16 base model \u4e3a\u57fa\u7840\u6a21\u578b\uff0c\u8f93\u51fa\u7aef\u6dfb\u52a0 100 \u7c7b\u4f53\u80b2\u8fd0\u52a8\u7684\u5206\u7c7b\u5668\uff1a\n  <\/p>\n<pre><code class=\"language-python\">input_shape = (height, width, 3)\nbase_model = tf.keras.applications.vgg16.VGG16(\n    weights='.\/pretrained_models\/vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5', \n    include_top=False,\n    input_shape=input_shape\n)\nbase_model.trainable = False\n\n# ..........\n\nmodel_vgg16.add(tf.keras.layers.Dense(len(class_map), activation='softmax'))\n\nmodel_vgg16.compile(loss='categorical_crossentropy', \n              optimizer=tf.keras.optimizers.Adam(0.001),\n              metrics=['accuracy'])\nmodel_vgg16.summary()<\/code><\/pre>\n<p class=\"img-center\">\n<p>\n   \u5b8c\u6210\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u6784\u5efa\u540e\uff0c\u8fdb\u884c\u6a21\u578b\u7684\u7f16\u8bd1\uff1a\n  <\/p>\n<pre><code class=\"language-python\">from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping\n \nepochs = 100\n \n# \u4fdd\u5b58\u6700\u4f73\u6a21\u578b\u53c2\u6570\ncheckpointer = ModelCheckpoint(\n    'best_vgg16_model.h5',\n    monitor='val_accuracy',\n    verbose=1,\n    save_best_only=True\n)\n\n# \u8bbe\u7f6e\u65e9\u505c\nearlystopper = EarlyStopping(\n    monitor='val_accuracy', \n    min_delta=0.001,\n    patience=5, \n    verbose=1\n)<\/code><\/pre>\n<p>\n   <strong><br \/>\n    \u6a21\u578b\u8bad\u7ec3\u4e0e\u9a8c\u8bc1\uff1a<br \/>\n   <\/strong>\n  <\/p>\n<pre><code class=\"language-python\">vgg16_history = model_vgg16.fit(\n    train_ds,\n    validation_data=val_ds,\n    epochs=epochs,\n    callbacks=[checkpointer, earlystopper]\n)<\/code><\/pre>\n<p>\n   <strong><br \/>\n    \u6a21\u578b\u8bad\u7ec3\u65e5\u5fd7\uff1a<br \/>\n   <\/strong>\n  <\/p>\n<blockquote>\n<pre>Epoch 1\/100\n422\/422 [==============================] - ETA: 0s - loss: 2.7480 - accuracy: 0.4451\nEpoch 1: val_accuracy improved from -inf to 0.73400, saving model to best_vgg16_model.h5\n422\/422 [==============================] - 1658s 4s\/step - loss: 2.7480 - accuracy: 0.4451 - val_loss: 1.1710 - val_accuracy: 0.7340\n......\nEpoch 14\/100\n422\/422 [==============================] - ETA: 0s - loss: 0.2579 - accuracy: 0.9427\nEpoch 14: val_accuracy did not improve from 0.79400\n422\/422 [==============================] - 1571s 4s\/step - loss: 0.2579 - accuracy: 0.9427 - val_loss: 2.1247 - val_accuracy: 0.7480\nEpoch 14: early stopping<\/pre>\n<\/blockquote>\n<h3 id=\"4.2-InceptionV3-Base-Model\">\n   3.2 InceptionV3 Base Model<br \/>\n  <\/h3>\n<p>\n   \u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc(Deep Neural Networks, DNN)\u6216\u6df1\u5ea6\u5377\u79ef\u7f51\u7edc\u4e2d\u7684Inception\u6a21\u5757\u662f\u7531Google\u7684Christian Szegedy\u7b49\u4eba\u63d0\u51fa\uff0c\u5305\u62ecInception-v1\u3001Inception-v2\u3001Inception-v3\u3001Inception-v4\u53caInception-ResNet\u7cfb\u5217\u3002\n  <\/p>\n<p>\n   Inception V3\u5f15\u5165\u4e86\u56e0\u5b50\u5206\u89e3\u5377\u79ef\u7684\u6982\u5ff5\uff0c\u5373\u7528\u4e24\u4e2a\u8f83\u5c0f\u7684\u5377\u79ef\u6838\u4ee3\u66ff\u4e00\u4e2a\u8f83\u5927\u7684\u5377\u79ef\u6838\u3002\u4f8b\u5982\uff0c\u7528\u4e00\u4e2a1&#215;7\u7684\u5377\u79ef\u540e\u63a5\u4e00\u4e2a7&#215;1\u7684\u5377\u79ef\u4ee3\u66ff\u4e00\u4e2a7&#215;7\u7684\u5377\u79ef\u3002\u8fd9\u79cd\u65b9\u6cd5\u51cf\u5c11\u4e86\u53c2\u6570\u6570\u91cf\uff0c\u540c\u65f6\u4fdd\u6301\u4e86\u6a21\u578b\u7684\u6df1\u5ea6\uff0c\u63d0\u9ad8\u4e86\u8ba1\u7b97\u6548\u7387\u3002\u6bcf\u4e2aInception\u6a21\u5757\u5185\u90e8\u5305\u542b\u51e0\u4e2a\u5e76\u884c\u7684\u5377\u79ef\u6d41\uff0c\u8fd9\u4e9b\u6d41\u5206\u522b\u8d1f\u8d23\u6355\u6349\u4e0d\u540c\u5c3a\u5ea6\u7684\u4fe1\u606f\u3002Inception V3\u8fdb\u4e00\u6b65\u6539\u8fdb\u4e86\u8fd9\u4e9b\u6a21\u5757\u7684\u8bbe\u8ba1\uff0c\u4f7f\u5f97\u7f51\u7edc\u80fd\u591f\u66f4\u52a0\u7075\u6d3b\u5730\u5904\u7406\u4e0d\u540c\u5c3a\u5ea6\u7684\u7279\u5f81\u3002\n  <\/p>\n<\/p>\n<p>\n   <strong><br \/>\n    \u6a21\u578b\u6784\u5efa\uff1a<br \/>\n   <\/strong>\n  <\/p>\n<pre><code class=\"language-python\">tf.keras.backend.clear_session()\n\nbase_model = tf.keras.applications.InceptionV3(\n    weights='.\/pretrained_models\/inception_v3_weights_tf_dim_ordering_tf_kernels_notop.h5', \n    include_top=False, \n    input_shape=input_shape\n)\nbase_model.trainable = False\n\n# ......\n\nmodel_inceptionv3.add(tf.keras.layers.Dense(len(class_map), activation='softmax'))\n\nmodel_inceptionv3.compile(loss='categorical_crossentropy',\n    optimizer=tf.keras.optimizers.Adam(0.001),\n    metrics=['accuracy']\n)\nmodel_inceptionv3.summary()<\/code><\/pre>\n<p id=\"\u6a21\u578b\u8bad\u7ec3\">\n   <strong><br \/>\n    \u6a21\u578b\u8bad\u7ec3<br \/>\n   <\/strong>\n  <\/p>\n<pre><code class=\"language-python\">inceptionv3_history = model_inceptionv3.fit(\n    train_ds,\n    validation_data=val_ds,\n    epochs=epochs,\n    callbacks=[checkpointer, earlystopper]\n)<\/code><\/pre>\n<p>\n   <strong><br \/>\n    \u6a21\u578b\u8bad\u7ec3\u65e5\u5fd7\uff1a<br \/>\n   <\/strong>\n  <\/p>\n<blockquote>\n<pre>Epoch 1\/100\n422\/422 [==============================] - ETA: 0s - loss: 10.9468 - accuracy: 0.5350\nEpoch 1: val_accuracy improved from -inf to 0.69200, saving model to best_inceptionv3_model.h5\n422\/422 [==============================] - 416s 969ms\/step - loss: 10.9468 - accuracy: 0.5350 - val_loss: 6.5931 - val_accuracy: 0.6920\n......\nEpoch 23\/100\n422\/422 [==============================] - ETA: 0s - loss: 1.5095 - accuracy: 0.9610\nEpoch 23: val_accuracy did not improve from 0.87200\n422\/422 [==============================] - 406s 961ms\/step - loss: 1.5095 - accuracy: 0.9610 - val_loss: 8.1535 - val_accuracy: 0.8640\nEpoch 23: early stopping<\/pre>\n<\/blockquote>\n<h3 id=\"5.\u6a21\u578b\u6027\u80fd\u5bf9\u6bd4\">\n   3.3 \u6a21\u578b\u6027\u80fd\u5bf9\u6bd4<br \/>\n  <\/h3>\n<pre><code class=\"language-python\">labels = ['\u635f\u5931Loss','\u51c6\u786e\u7387Accuracy']\nvgg16_evals = [vgg16_eval_result['\u635f\u5931Loss'], vgg16_eval_result['\u51c6\u786e\u7387Accuracy']]\ninceptionv3_evals = [inceptionv3_eval_result['\u635f\u5931Loss'], inceptionv3_eval_result['\u51c6\u786e\u7387Accuracy']]\n\nx = np.arange(len(labels))  # the label locations\nbar_width = 0.35  # the width of the bars\n\nfig, ax = plt.subplots(figsize=(8, 6), dpi=100)\nrects1 = ax.bar(x - bar_width\/2, vgg16_evals, bar_width, label='VGG16')\nrects2 = ax.bar(x + bar_width\/2, inceptionv3_evals, bar_width, label='Inception-V3')\n\n# Add some text for labels, title and custom x-axis tick labels, etc.\nax.set_ylabel('Loss\/Acc')\nax.set_title('VGG16 \u4e0e Inception-V3 \u7684\u82b1\u5349\u5206\u7c7b\u6027\u80fd\u5bf9\u6bd4')\nax.set_xticks(x, labels)\nax.legend()\n\nax.bar_label(rects1, padding=3)\nax.bar_label(rects2, padding=3)\n\nfig.tight_layout()\n \nplt.show()<\/code><\/pre>\n<\/p>\n<p>\n   \u53ef\u4ee5\u770b\u51fa\uff0c<br \/>\n   <strong><br \/>\n    \u57fa\u4e8e Inception-V3 \u4e3a base \u6a21\u578b\u7684\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff0c\u5176\u9884\u6d4b\u51c6\u786e\u7387\u8f83\u9ad8\uff0c\u4e3a87.2%<br \/>\n   <\/strong><br \/>\n   \uff0c\u4ee5\u6b64\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u667a\u80fd\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf\u4e2d\uff0c\u6211\u4eec\u5c06\u96c6\u6210\u8be5\u6a21\u578b\u3002\n  <\/p>\n<p>\n   <strong><br \/>\n   <\/strong><br \/>\n   \u540c\u65f6\u6211\u4eec\u4e5f\u80fd\u770b\u51fa\uff0c<br \/>\n   <strong><br \/>\n    \u5bf9\u4e8e100\u4e2a\u7c7b\u522b\u7684\u591a\u7c7b\u522b\u5206\u7c7b\u95ee\u9898\uff0c\u4e14\u6bcf\u4e2a\u7c7b\u522b\u4ec5\u5305\u542b100\u591a\u4e2a\u5c0f\u6837\u672c\uff0c\u96be\u5ea6\u76f8\u5bf9\u6765\u8bf4\u662f\u66f4\u5927\u4e9b\u7684<br \/>\n   <\/strong><br \/>\n   \uff0c\u6211\u4eec\u7684\u6a21\u578b\u51c6\u786e\u7387\u8fbe\u5230\u4e86<br \/>\n   <strong><br \/>\n    87.2%<br \/>\n   <\/strong><br \/>\n   \uff0c\u5177\u6709\u5f88\u597d\u7684\u5b9e\u7528\u4ef7\u503c\u3002\n  <\/p>\n<h2>\n   4. \u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf<br \/>\n  <\/h2>\n<h3>\n   4.1 \u7cfb\u7edf\u9996\u9875<br \/>\n  <\/h3>\n<p>\n   \u7cfb\u7edf\u9996\u9875\u63d0\u4f9b\u7b80\u6d01\u660e\u4e86\u7684\u754c\u9762\u8bbe\u8ba1\uff0c\u5305\u62ec\u7cfb\u7edf\u540d\u79f0\u3001\u4e3b\u8981\u529f\u80fd\u7b80\u4ecb\u4ee5\u53ca\u4f7f\u7528\u6a21\u578b\u7684\u4ecb\u7ecd\u7b49\u5185\u5bb9\u3002\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u4e3b\u9875\u5feb\u901f\u4e86\u89e3\u7cfb\u7edf\u7684\u57fa\u672c\u64cd\u4f5c\u6d41\u7a0b\u53ca\u6ce8\u610f\u4e8b\u9879\u3002\u9996\u9875\u8fd8\u63d0\u4f9b\u5728\u7ebf\u6d4b\u8bd5\u7684\u6309\u94ae\uff0c\u70b9\u51fb\u53ef\u8fdb\u884c\u5728\u7ebf\u6d4b\u8bd5\u3002\n  <\/p>\n<\/p>\n<h3>\n   4.2 \u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u4ecb\u7ecd<br \/>\n  <\/h3>\n<\/p>\n<h3>\n   4.3 \u4f53\u80b2\u8fd0\u52a8\u5b9e\u65f6\u5206\u7c7b\u9884\u6d4b<br \/>\n  <\/h3>\n<p>\n   \u7528\u6237\u4e0a\u4f20\u56fe\u50cf\u540e\uff0c\u7cfb\u7edf\u5c06\u81ea\u52a8\u8c03\u7528\u9884\u5148\u8bad\u7ec3\u597d\u7684\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8fdb\u884c\u5206\u6790\u5904\u7406\u3002\u6a21\u578b\u4f1a\u6839\u636e\u56fe\u50cf\u4e2d\u7684\u7279\u5f81\u5224\u65ad\u4f53\u80b2\u8fd0\u52a8\u7c7b\u578b\uff0c\u5e76\u7ed9\u51fa\u76f8\u5e94\u7684\u5206\u7c7b\u7ed3\u679c\u3002\u6b64\u5916\uff0c\u7cfb\u7edf\u8fd8\u4f1a\u63d0\u4f9b\u6a21\u578b\u5bf9\u6240\u6709\u7c7b\u522b\u7684\u9884\u6d4b\u6982\u7387\u5206\u5e03\uff0c\u63d0\u5347\u6a21\u578b\u8f93\u51fa\u53ef\u89e3\u91ca\u6027\u3002\n  <\/p>\n<p>\n   <strong><br \/>\n    \uff081\uff09<br \/>\n    <strong id=\"predict_class\"><br \/>\n     balance beam \u5e73\u8861\u6728\u6837\u672c\u9884\u6d4b<br \/>\n    <\/strong><br \/>\n   <\/strong>\n  <\/p>\n<\/p>\n<p>\n   <strong><br \/>\n    \uff082\uff09<br \/>\n    <strong><br \/>\n     snowmobile racing<br \/>\n    <\/strong><br \/>\n    \u96ea\u5730\u6469\u6258\u8d5b\u6837\u672c\u9884\u6d4b<br \/>\n   <\/strong>\n  <\/p>\n<\/p>\n<p>\n   <strong><br \/>\n    \uff083\uff09<br \/>\n    <strong><br \/>\n     tennis \u7f51\u7403\u6837\u672c\u9884\u6d4b<br \/>\n    <\/strong><br \/>\n   <\/strong>\n  <\/p>\n<\/p>\n<p>\n   <strong><br \/>\n    \uff084\uff09<br \/>\n    <strong><br \/>\n     hockey \u66f2\u68cd\u7403\u6837\u672c\u9884\u6d4b<br \/>\n    <\/strong><br \/>\n   <\/strong>\n  <\/p>\n<\/p>\n<h2>\n   5. \u603b\u7ed3<br \/>\n  <\/h2>\n<p>\n   \u672c\u7cfb\u7edf\u5229\u7528 TensorFlow\u3001Keras \u7b49\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\uff0c\u4ee5VGG16\u548c InceptionV3 \u4e3a base \u6a21\u578b\u6784\u5efa\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\uff08CNN\uff09\uff0c\u5229\u7528\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u6570\u636e\u96c6\u8fdb\u884c\u6a21\u578b\u8bad\u7ec3\u4e0e\u9a8c\u8bc1\uff0c\u9884\u6d4b\u51c6\u786e\u7387\u8fbe\u5230<br \/>\n   <strong><br \/>\n    87.2%<br \/>\n   <\/strong><br \/>\n   \uff0c\u4f7f\u7528Flask\u6846\u67b6\u7ed3\u5408Bootstrap\u524d\u7aef\u6280\u672f\u642d\u5efa\u4e86\u4e00\u4e2a\u4ea4\u4e92\u5f0f\u7684\u5206\u6790\u9884\u6d4b\u5e73\u53f0\uff0c\u80fd\u591f\u4ece\u5927\u91cf\u7684\u56fe\u50cf\u6570\u636e\u4e2d\u81ea\u52a8\u5b66\u4e60\u548c\u63d0\u53d6\u7279\u5f81\uff0c\u4ece\u800c\u5b9e\u73b0\u9ad8\u6548\u3001\u51c6\u786e\u7684\u5206\u7c7b\u3002\n  <\/p>\n<blockquote>\n<p>\n    \u6b22\u8fce\u5927\u5bb6<br \/>\n    <span style=\"color:#fe2c24;\"><br \/>\n     <strong><br \/>\n      \u70b9\u8d5e\u3001\u6536\u85cf\u3001\u5173\u6ce8\u3001\u8bc4\u8bba<br \/>\n     <\/strong><br \/>\n    <\/span><br \/>\n    \u5566 \uff0c\u7531\u4e8e\u7bc7\u5e45\u6709\u9650\uff0c<br \/>\n    <span style=\"color:#fe2c24;\"><br \/>\n     \u53ea\u5c55\u793a\u4e86\u90e8\u5206\u6838\u5fc3\u4ee3\u7801\u3002\u6280\u672f\u4ea4\u6d41\u3001<br \/>\n     <strong><br \/>\n      \u6e90\u7801\u83b7\u53d6<br \/>\n     <\/strong><br \/>\n     \u8ba4\u51c6\u4e0b\u65b9<br \/>\n     <strong><br \/>\n      CSDN \u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f QQ \u540d\u7247 \ud83d\ude42<br \/>\n     <\/strong><br \/>\n    <\/span>\n   <\/p>\n<\/p>\n<p>\n    <strong><br \/>\n     \u7cbe\u5f69\u4e13\u680f\u63a8\u8350\u8ba2\u9605\uff1a<br \/>\n    <\/strong>\n   <\/p>\n<p>\n    <strong><br \/>\n     <strong><br \/>\n      <strong><br \/>\n       <strong><br \/>\n        <a class=\"link-info\" href=\"https:\/\/blog.csdn.net\/andrew_extra\/category_11449014.html\" title=\"1.\u00a0Python-\u6570\u636e\u6316\u6398\u5b9e\u6218\u6848\u4f8b\"><br \/>\n         1.\u00a0Python-\u6570\u636e\u6316\u6398\u5b9e\u6218\u6848\u4f8b<br \/>\n        <\/a><br \/>\n       <\/strong><br \/>\n      <\/strong><br \/>\n     <\/strong><br \/>\n    <\/strong>\n   <\/p>\n<p>\n    <strong><br \/>\n     <strong><br \/>\n      <strong><br \/>\n       <strong><br \/>\n        <a class=\"link-info\" href=\"https:\/\/blog.csdn.net\/andrew_extra\/category_11873295.html\" title=\"2.\u00a0Python-\u6df1\u5ea6\u5b66\u4e60\u5b9e\u6218\u6848\u4f8b\"><br \/>\n         2.\u00a0Python-\u6df1\u5ea6\u5b66\u4e60\u5b9e\u6218\u6848\u4f8b<br \/>\n        <\/a><br \/>\n       <\/strong><br \/>\n      <\/strong><br \/>\n     <\/strong><br \/>\n    <\/strong>\n   <\/p>\n<p>\n    <strong><br \/>\n     <strong><br \/>\n      <strong><br \/>\n       <strong><br \/>\n        <a class=\"link-info\" href=\"https:\/\/blog.csdn.net\/andrew_extra\/category_12773325.html\" title=\"3.\u00a0Python-\u7ba1\u7406\u7cfb\u7edf\u5b9e\u6218\u6848\u4f8b\"><br \/>\n         3.\u00a0Python-\u7ba1\u7406\u7cfb\u7edf\u5b9e\u6218\u6848\u4f8b<br \/>\n        <\/a><br \/>\n       <\/strong><br \/>\n      <\/strong><br \/>\n     <\/strong><br \/>\n    <\/strong>\n   <\/p>\n<\/blockquote>\n<p class=\"img-center\">\n<\/p><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u6e29\u99a8\u63d0\u793a\uff1a\u6587\u672b\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f QQ \u540d\u7247 \ud83d\ude42 1. \u9879\u76ee\u7b80\u4ecb \u968f\u7740\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u7684 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":215,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[29],"tags":[],"class_list":["post-2336","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-29"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u57fa\u4e8e\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u7684\u4f53\u80b2\u8fd0\u52a8\u9879\u76ee\u5206\u7c7b\u8bc6\u522b\u7cfb\u7edf - \u7269\u5ae9\u8f6f\u4ef6\u8d44\u8baf\u7f51<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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