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  1. mxnet.np.linspace — Apache MXNet documentation

    mxnet.np.linspace linspace ( start , stop , num=50 , endpoint=True , retstep=False , dtype=None , axis=0 , device=Non...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linspace.html
    Registered: 2024-06-14 07:09
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  2. Array creation routines — Apache MXNet document...

    Array creation routines Ones and zeros eye (N[, M, k, dtype, device]) Return a 2-D array with ones on the diagonal an...
    mxnet.apache.org/versions/master/api/python/docs/api/np/routines.array-creation.html
    Registered: 2024-06-14 07:09
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  3. mxnet.np.linalg.det — Apache MXNet documentation

    mxnet.np.linalg.det det ( a ) Compute the determinant of an array. Parameters a ( ( .. , M , M ) ndarray ) – Input ar...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linalg.det.html
    Registered: 2024-06-14 07:12
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  4. mxnet.np.linalg.cholesky — Apache MXNet documen...

    mxnet.np.linalg.cholesky cholesky ( a , upper=False ) Cholesky decomposition. Notes upper param is requested by API s...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linalg.cholesky.html
    Registered: 2024-06-14 07:13
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  5. mxnet.np.ndarray.tolist — Apache MXNet document...

    mxnet.np.ndarray.tolist ndarray. tolist ( ) Did this page help you? Yes No Thanks for your feedback! Previous mxnet.n...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.ndarray.tolist.html
    Registered: 2024-06-14 07:13
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  6. mxnet.np.square — Apache MXNet documentation

    mxnet.np.square square ( x , out=None , **kwargs ) Return the element-wise square of the input. Parameters x ( ndarra...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.square.html
    Registered: 2024-06-14 07:22
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  7. mxnet.np.minimum — Apache MXNet documentation

    mxnet.np.minimum minimum ( x1 , x2 , out=None , **kwargs ) Returns element-wise minimum of the input arrays with broa...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.minimum.html
    Registered: 2024-06-14 07:22
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  8. Losses — Apache MXNet documentation

    Losses Custom Loss Blocks Kullback-Leibler (KL) Divergence Loss functions Did this page help you? Yes No Thanks for y...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/loss/index.html
    Registered: 2024-06-14 07:03
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  9. Learning Rate Finder — Apache MXNet documentation

    Learning Rate Finder Setting the learning rate for stochastic gradient descent (SGD) is crucially important when trai...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/training/learning_rates...
    Registered: 2024-06-14 07:03
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  10. Saving and Loading Gluon Models — Apache MXNet ...

    Saving and Loading Gluon Models Training large models take a lot of time and it is a good idea to save the trained mo...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/gluon/blocks/save_load_params...
    Registered: 2024-06-14 07:02
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