Web Real-Time Communication(Web實時通信,WebRTC)由一組標準、協議和JavaScript API組成,用于實現瀏覽器之間(端到端)的音頻、視頻及數據共享。 WebRTC使得實時通信變成一種標準功能,任何Web應用都無需借助第三方插件和專有軟...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...的標準正態分布。也即針對一個均值為 $mean$ 標準差為 $std$ 的向量 $X$ 中的每個值 $x$,有 $x_{scaled} = frac{x - mean}{std}$。 >>> from sklearn import preprocessing >>> import numpy as np >>> X_train = np.array([[ 1., -1., 2.], .....
...e=float) 對于第一列數據,$x_{mean}$ = np.mean(X2[:, 0]),$s$ = np.std(X2[:, 0]): X2[:, 0] = (X2[:, 0] - np.mean(X2[:, 0])) / np.std(X2[:, 0]) 第二列數據同理: X2[:, 1] = (X2[:, 1] - np.mean(X2[:, 1])) / np.std(X2[:...
... phone0 9759243157894736 us 69.166.231.58 vasstdc27m7nks3 1 1 668d393e858e8126275433046bbd35c6tywop aeqok furniture phone1 97...
ChatGPT和Sora等AI大模型應用,將AI大模型和算力需求的熱度不斷帶上新的臺階。哪里可以獲得...
大模型的訓練用4090是不合適的,但推理(inference/serving)用4090不能說合適,...
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