learning rate的意思

learning rate中文翻譯：

學習率

相似詞語短語

learning───n.學習；學問；v.學習（learn的現在分詞）

rate───n.(Rate)人名；(法、塞)拉特；n.比率，率；速度；價格；等級；vi.責罵；被評價；vt.認為；估價；責罵

lifelong learning───終身學習；終生學習

learning tower───學習塔

e learning───n.網絡（化）學習；數字（化）學習；電子（化）學習

cooperative learning───合作學習，共同學習

altitude learning───高度學習

disentangled learning───脫節學習

associative learning───[心理]聯想學習；聯結式學習

雙語使用場景

This is accomplished by introducing alpha (0 1), which is called the learning rate.───這個規則通過引入 alpha (0 1) 完成。我們把 alpha 稱為學習率。

The serious cold had disturbed my routine even badly gotten my learning rate of progress behind.───那嚴重的感冒干擾了我的日常作息，甚至使得我的學習進度嚴重落后。

Restults show that the gain, learning rate and momentum are critical for network convergence and stability.───結果表明，網絡的增益、學習速率和動量是影響網絡收斂和穩定性的關鍵參數。

can only use a big learning rate combined with a small momentum factor get a learning precision smoothly.───學習率和動量因子大小搭配使用才能夠平穩達到學習精度。

To determine the parameters of model on number of node in hidden layers , learning rate, coefficient of momentum.───通過反復試驗，確定了隱含層節點數、學習速率、動量系數等模型參數。

Simulation results show that the method can reduce the on-line learning space and speed up the learning rate.───仿真實驗結果表明，由于只在高層保持在線學習，使學習空間得以縮小，學習時間得以縮短。

The adaptive distributed learning rate of neural networks is developed to increase the learning speed and performance greatly.───并采用自適應分布式學習速率，大大提高了神經網絡的學習速度和精度。

In this algorithm, each weight has its own learning rate. Consequently, the training time was shortened obviously.───該算法使每個權都有自己的學習率，使網絡的訓練速度大幅度提高。

Compared to the standard BP, this algorithm integrated the additional momentum method with the adaptive learning rate method.───與標準BP算法比較，該系統通過結合附加動量法和自適應學習速率形成新的BP改進算法。

英語使用場景

The learning rate, in turn, is expressed as 1 minus the constant percentage of costs reduced as output doubles.

The neural-network arithmetic to solve nonlinear systems was traversed. The convergence theorem of the arithmetic was presented and proved. This theorem gives theory gist to learning rate range.

An improved evolutionary NN of intelligent learning method is proposed. The hidden layer structure and learning parameters (eg. learning rate and momentum) are optimally determined by the method.