argmax axis 1
a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) ... , This means that the index that will be returned by argmax will be taken from the last axis. Your data has some shape (19,19,5,80) . This means:., np.argmin(a,axis=0) 我期望 array([0,0,0,0]); np.argmin(a,axis=1) 我期望 array([0,0,0]); np.argmax(a,axis=0) 我期望 array([1,1,1,1]); np.argmax(a ..., numpy里面的argmax函数函数原型：defargmax(a,axis=None,out=None)a----输入arrayaxis----为0代表列方向，为1代表行方向out----结果写到这个., a = np.array([[2,5,6],[7,6,1]]) print(np.argmax(a)). 1; 2. 输出结果为3，因为a里面7是最大的，如果没有指定axis，默认就是None，相当于把array平铺 ...,a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1) ... ,Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... ,Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... , argmax返回的是最大数的索引.argmax有一个参数axis,默认是0,表示第几维的最大值.看二维的情况. import numpy as np a = np.array([[1, 5, 5, 2], ...
| 相關軟體 Python 資訊 | |
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 argmax axis 1 相關參考資料
numpy.argmax — NumPy v1.17.dev0 Manual
a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1)&n... https://www.numpy.org What is the meaning of axis=-1 in keras.argmax? - Stack Overflow
This means that the index that will be returned by argmax will be taken from the last axis. Your data has some shape (19,19,5,80) . This means:. https://stackoverflow.com numpy: argmin() 和argmax() 函数的逻辑是什么？_numpy_帮酷编程问答
np.argmin(a,axis=0) 我期望 array([0,0,0,0]); np.argmin(a,axis=1) 我期望 array([0,0,0]); np.argmax(a,axis=0) 我期望 array([1,1,1,1]); np.argmax(a ... http://hant.ask.helplib.com numpy.argmax() - u013713117的专栏- CSDN博客
numpy里面的argmax函数函数原型：defargmax(a,axis=None,out=None)a----输入arrayaxis----为0代表列方向，为1代表行方向out----结果写到这个. https://blog.csdn.net numpy 和tensorflow中argmax()，argmin()函数使用讲解 ... - CSDN
a = np.array([[2,5,6],[7,6,1]]) print(np.argmax(a)). 1; 2. 输出结果为3，因为a里面7是最大的，如果没有指定axis，默认就是None，相当于把array平铺 ... https://blog.csdn.net numpy.argmax — NumPy v1.16 Manual
a = np.arange(6).reshape(2,3) + 10 >>> a array([[10, 11, 12], [13, 14, 15]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, axis=1)&n... https://docs.scipy.org numpy.argmax — NumPy v1.13 Manual
Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.11 Manual
Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... https://docs.scipy.org numpy.argmax — NumPy v1.10 Manual
Returns the indices of the maximum values along an axis. ... 1, 2], [3, 4, 5]]) >>> np.argmax(a) 5 >>> np.argmax(a, axis=0) array([1, 1, 1]) >>> np.argmax(a, ... https://docs.scipy.org 详解numpy的argmax - 荷楠仁- 博客园
argmax返回的是最大数的索引.argmax有一个参数axis,默认是0,表示第几维的最大值.看二维的情况. import numpy as np a = np.array([[1, 5, 5, 2], ... https://www.cnblogs.com |