{"id":1135,"date":"2024-07-18T23:19:47","date_gmt":"2024-07-18T15:19:47","guid":{"rendered":"http:\/\/tobykskgd.life\/?p=1135"},"modified":"2024-11-14T22:31:03","modified_gmt":"2024-11-14T14:31:03","slug":"55","status":"publish","type":"post","link":"https:\/\/tobykskgd.life\/index.php\/55\/","title":{"rendered":"\u5434\u6069\u8fbe\u673a\u5668\u5b66\u4e60\u7b14\u8bb0EP6"},"content":{"rendered":"\n

\u3010\u6784\u5efa\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u5e76\u8bad\u7ec3\u5b83\u3011\u5434\u6069\u8fbe\u673a\u5668\u5b66\u4e60\u7b14\u8bb0EP6\uff08P51-P60\uff09<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u4ece\u4eca\u5929\u5f00\u59cb\u6211\u5c06\u5b66\u4e60\u5434\u6069\u8fbe\u6559\u6388\u7684\u673a\u5668\u5b66\u4e60\u89c6\u9891\uff0c\u4e0b\u9762\u662f\u8bfe\u7a0b\u7684\u8fde\u63a51.1 \u6b22\u8fce\u6765\u5230\u673a\u5668\u5b66\u4e60!_\u54d4\u54e9\u54d4\u54e9_bilibili<\/a>\u3002\u4e00\u5171\u6709142\u4e2a\u89c6\u9891\uff0c\u4e89\u53d6\u90fd\u5b66\u4e60\u5b8c\u6210\u5427\u3002<\/p>\n\n\n\n

\n\n\n\n

\u6784\u5efa\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc<\/h2>\n\n\n\n

\u53c2\u8003\u4e0b\u56fe\u7684\u795e\u7ecf\u7f51\u7edc\u67b6\u6784\uff0c\u6784\u5efa\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n\n\n\n

layer_1 = Dense(units=3, activation='sigmoid')\nlayer_2 = Dense(units=1, activation='sigmoid')\nmodel = Sequential([layer_1, layer_2]) # \u76f4\u63a5\u5229\u7528Sequential\u51fd\u6570\uff0c\u5c06\u82e5\u5e72\u5c42\u6309\u987a\u5e8f\u4e32\u8054\u8d77\u6765\uff0c\u4ece\u800c\u521b\u5efa\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\nx = np.array([[200.0, 17.0],\n             [120.0, 5.0],\n             [425.0, 20.0],\n             [212.0, 18.0]])\ny = np.array([1, 0, 0, 1])\nmodel.compile(loss=tf.keras.losses.BinaryCrossentropy()) # \u5b9a\u4e49\u635f\u5931\u51fd\u6570\u7b49\nmodel.fit(x, y) # \u544a\u8bc9TensorFlow\u8fd9\u4e2a\u795e\u7ecf\u7f51\u7edc\u5bf9\u5e94\u7684\u8bad\u7ec3\u6570\u636e\uff08\u8f93\u5165\u548c\u6807\u7b7e\uff09\n\n# \u5b9a\u4e49\u65b0\u7684\u8f93\u5165\u6570\u636e\nx_new = np.array([[150.0, 10.0],\n                  [300.0, 15.0]])\n\nmodel.predict(x_new) # \u63a8\u7406<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u624b\u5199\u6570\u5b57\u8bc6\u522b\u4e2d\u66f4\u591a\u9690\u85cf\u5c42\u7684\u793a\u4f8b<\/h2>\n\n\n\n
layer_1 = Dense(units=25, activation='sigmoid')\nlayer_2 = Dense(units=15, activation='sigmoid')\nlayer_3 = Dense(units=3, activation='sigmoid')\nmodel = Sequential([layer_1, layer_2, layer_3])<\/code><\/pre>\n\n\n\n
\u6211\u4eec\u53ef\u4ee5\u5411\u4e0a\u9762\u8fd9\u6837\u6784\u5efa\u591a\u5c42\u6a21\u578b\uff0c\u5982\u679c\u5c42\u6570\u5f88\u591a\uff0c\u6211\u4eec\u53ef\u4ee5\u7b80\u5199\u6210\u4e0b\u9762\u8fd9\u6837\uff1a<\/p>\n\n\n\n
model = Sequential([\n    Dense(units=25, activation='sigmoid'),\n    Dense(units=15, activation='sigmoid'),\n    Dense(units=3, activation='sigmoid')])<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u5728\u4e00\u4e2a\u5355\u5c42\u4e2d\u7684\u524d\u5411\u4f20\u64ad<\/h2>\n\n\n\n
\u4e0b\u9762\u662f\u5728\u4e00\u4e2a\u5355\u5c42\u4e2d\u5b9e\u73b0\u524d\u5411\u4f20\u64ad\u7684\u8fc7\u7a0b\u3002\u4e3b\u8981\u4ecb\u7ecd\u4e86\u795e\u7ecf\u7f51\u7edc\u5f53\u4e2d\u4e00\u4e9b\u6570\u636e\u7684\u5b9a\u4e49\u65b9\u6cd5\u3002<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u524d\u5411\u4f20\u64ad\u7684\u4e00\u822c\u5b9e\u73b0<\/h2>\n\n\n\n
\u5728Numpy\u4e2d\u5b9e\u73b0\u524d\u5411\u4f20\u64ad\u3002<\/p>\n\n\n\n
\u7528Numpy\u6570\u636e\u5e93\u6784\u67b6\u67d0\u4e00\u5c42\u4e2d\u7684\u4f20\u64ad\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
def dense(a_in, W, b, g):\n    units = W.shape[1]\n    a_out = np.zero(units)\n    for j in range(units):\n        W = W[:,j]\n        z = np.dot(w, a_in) + b[j]\n        a_out[j] = g(z)\n    return a_out<\/code><\/pre>\n\n\n\n
\u628a\u6bcf\u4e00\u5c42\u7ec4\u5408\u8d77\u6765\u53ef\u4ee5\u6784\u5efa\u51fa\u524d\u5411\u4f20\u64ad\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
def sequential(x):\n    a1 = dense(x, W1, b1)\n    a2 = dense(a1, W2, b2)\n    a3 = dense(a2, W3, b3)\n    a4 = dense(a3, W4, b4)\n    f_x = a4\n    return f_x<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u662f\u5426\u6709\u8def\u901a\u5411AGI\uff08\u901a\u7528\u4eba\u5de5\u667a\u80fd\uff09\uff1f<\/h2>\n\n\n\n
AI\u6709\u4e24\u4e2a\u5206\u652f\uff1a\u5728\u67d0\u4e2a\u7279\u5b9a\u9886\u57df\u8868\u73b0\u51fa\u8272\u7684ANI\u548c\u53ef\u4ee5\u7528\u4e8e\u6240\u6709\u9886\u57df\u4efb\u52a1\u7684AGI<\/p>\n\n\n\n
\u4eba\u4eec\u4e00\u76f4\u81f4\u529b\u4e8e\u6784\u67b6\u4e00\u4e2aAGI\uff0c\u4f46\u662f\u76ee\u524d\u4f9d\u65e7\u6ca1\u6709\u5f88\u597d\u7684\u601d\u8def\u3002<\/p>\n\n\n\n
\u76ee\u524d\u4e3b\u8981\u7684\u4e24\u4e2a\u60f3\u6cd5\uff1a<\/p>\n\n\n\n
\u4eff\u7167\u4eba\u8111\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u3002\u4f46\u662f\u76ee\u524d\u4eba\u7c7b\u81ea\u5df1\u5bf9\u81ea\u5df1\u7684\u5927\u8111\u90fd\u4e86\u89e3\u751a\u5c11\uff0c\u66f4\u522b\u8bf4\u4eff\u7167\u4eba\u8111\u53bb\u6784\u67b6\u795e\u7ecf\u7f51\u7edc\u4e86\u3002\u6240\u4ee5\u76ee\u524d\u795e\u7ecf\u7f51\u7edc\u53ea\u662f\u4e00\u4e2a\u53eb\u6cd5\uff0c\u5176\u672c\u8eab\u65e9\u5df2\u8131\u79bb\u4e86\u4eff\u7167\u4eba\u7c7b\u5927\u8111\u8fd9\u4e00\u601d\u8def\u4e86\u3002<\/p>\n\n\n\n
\u8fd8\u6709\u4e00\u79cd\u65b9\u6cd5\u5c31\u662f\u6784\u5efa\u4e00\u4e2a\u53ef\u4ee5\u81ea\u5df1\u5b66\u4e60\u7684\u7b97\u6cd5\uff0c\u8ba9\u5176\u81ea\u5df1\u53bb\u9002\u5e94\u4e0d\u540c\u7684\u6570\u636e\u96c6\u3002<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u5411\u91cf\u5316\uff0c\u9ad8\u6548\u5b9e\u73b0\u795e\u7ecf\u7f51\u7edc<\/h2>\n\n\n\n
\u5411\u91cf\u5316\u53ef\u4ee5\u5e2e\u52a9\u66f4\u9ad8\u6548\u7684\u6784\u5efa\u795e\u7ecf\u7f51\u7edc\u3002<\/p>\n\n\n\n
\u6bd4\u5982dense\u51fd\u6570\u7684\u5b9a\u4e49\u53ef\u4ee5\u7528\u5411\u91cf\u5316\u7684\u65b9\u5f0f\u66f4\u7b80\u6613\u7684\u6784\u5efa\u51fa\u6765\uff1a<\/p>\n\n\n\n
def dense(A_in, W, B):\n    Z = np.matmul(A_in, W) + B # matmul\u7531\u4e8e\u77e9\u9635\u4e58\u6cd5\u7684\u5b9e\u73b0\n    A_out = g(Z)\n    return A_out<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u70b9\u4e58<\/h2>\n\n\n\n
\u5982\u4e0b\u56fe\u662f\u70b9\u4e58\u548c\u5411\u91cf\u8f6c\u7f6e\u7684\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u5411\u91cf\u548c\u77e9\u9635\u76f8\u4e58<\/h2>\n\n\n\n
\u5982\u4e0b\u56fe\u662f\u5411\u91cf\u548c\u77e9\u9635\u76f8\u4e58\u7684\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u77e9\u9635\u4e58\u6cd5<\/h2>\n\n\n\n
\u5982\u4e0b\u56fe\u662f\u77e9\u9635\u4e58\u6cd5\u7684\u65b9\u6cd5\uff1a<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u77e9\u9635\u4e58\u6cd5\u7684\u89c4\u5219<\/h2>\n\n\n\n
\u5982\u4e0b\u56fe\u662f\u77e9\u9635\u4e58\u6cd5\u7684\u89c4\u5219\u3002<\/p>\n\n\n\n
\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4e24\u4e2a\u77e9\u9635\u76f8\u4e58\uff0c\u524d\u4e00\u4e2a\u77e9\u9635\u7684\u5217\u6570\u548c\u540e\u4e00\u4e2a\u77e9\u9635\u7684\u884c\u6570\u5fc5\u987b\u76f8\u540c\uff0c\u5426\u5219\u65e0\u6cd5\u76f8\u4e58\u3002<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u77e9\u9635\u4e58\u6cd5\u4ee3\u7801<\/h2>\n\n\n\n
\u5982\u4e0b\u56fe\u662f\u77e9\u9635\u7684\u4e00\u4e9b\u5b9a\u4e49\u65b9\u6cd5\u3002<\/p>\n\n\n\n
matmul\u77e9\u9635\u4e58\u6cd5\u4e5f\u53ef\u4ee5\u7528@\u76f4\u63a5\u5199\u3002<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u4e0b\u9762\u662f\u4f7f\u7528\u5411\u91cf\u5316\u8868\u793a\u4e00\u4e2a\u5c42\uff1a<\/p>\n\n\n\n
AT = np.array([[200, 17]])\nW = np.array([[1, -3, 5],\n             [-2, 4, -6]])\nb = np.array([[-1, 1, 2]])\n\n# g\u7528sigmoid\u51fd\u6570\u7684\u5b9a\u4e49\ndef g(z):\n    return 1 \/ (1 + np.exp(-z))\n\n\ndef dense(A_in, W, B):\n    Z = np.matmul(A_in, W) + B # matmul\u7531\u4e8e\u77e9\u9635\u4e58\u6cd5\u7684\u5b9e\u73b0\n    A_out = g(Z)\n    return A_out\n\nprint(dense(AT, W, b))<\/code><\/pre>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
TensorFlow\u5b9e\u73b0\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3<\/h2>\n\n\n\n
\u4e0b\u9762\u662f\u6574\u4e2a\u795e\u7ecf\u7f51\u7edc\u8bad\u7ec3\u7684\u7b80\u5355\u5b9e\u73b0\u4ee3\u7801\uff0c\u548c\u4e0a\u9762\u5199\u7684\u5dee\u4e0d\u591a\uff0c\u8fd9\u91cc\u5c31\u4e0d\u91cd\u590d\u4e86\u3002<\/p>\n\n\n\n
\u6574\u4f53\u6b65\u9aa4\u5c31\u662f\u5148\u5b9a\u4e49\u795e\u7ecf\u7f51\u7edc\uff0c\u7136\u540e\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u7b49\uff0c\u6700\u540e\u8fdb\u884c\u8bad\u7ec3\u3002<\/p>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u8bad\u7ec3\u7ec6\u8282<\/h2>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u6784\u5efa\u6a21\u578b<\/h2>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u5b9a\u4e49\u635f\u5931\u51fd\u6570\u548c\u4ee3\u4ef7\u51fd\u6570<\/h2>\n\n\n\n
\"\"<\/div><\/figure>\n\n\n\n
\u68af\u5ea6\u4e0b\u964d<\/h2>\n\n\n\n
\"\"<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"
\u3010\u6784\u5efa\u4e00\u4e2a\u795e\u7ecf\u7f51\u7edc\u5e76\u8bad\u7ec3\u5b83\u3011\u5434\u6069\u8fbe\u673a\u5668\u5b66\u4e60\u7b14\u8bb0EP6\uff08P51-P60\uff09 \u4ece\u4eca\u5929\u5f00\u59cb\u6211\u5c06\u5b66\u4e60\u5434\u6069\u8fbe\u6559\u6388\u7684\u673a\u5668\u5b66\u4e60 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[40],"tags":[3,7],"class_list":["post-1135","post","type-post","status-publish","format-standard","hentry","category-wedjqxxbj","tag-xxbj","tag-jjxx"],"_links":{"self":[{"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/posts\/1135","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/comments?post=1135"}],"version-history":[{"count":10,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/posts\/1135\/revisions"}],"predecessor-version":[{"id":1901,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/posts\/1135\/revisions\/1901"}],"wp:attachment":[{"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/media?parent=1135"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/categories?post=1135"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tobykskgd.life\/index.php\/wp-json\/wp\/v2\/tags?post=1135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}