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Results 501 - 510 of 549 for host:mxnet.apache.org (0.08 seconds)

  1. Distributed Key-Value Store — Apache MXNet docu...

    Distributed Key-Value Store KVStore is a place for data sharing. Think of it as a single object shared across differe...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/kvstore/kvstore.html
    Thu Jan 05 05:04:49 GMT 2023
      170.9K bytes
  2. An Intro: Manipulate Data the MXNet Way with ND...

    An Intro: Manipulate Data the MXNet Way with NDArray Overview This guide will introduce you to how data is handled wi...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/01-ndarray-int...
    Thu Jan 05 05:04:49 GMT 2023
      166.6K bytes
  3. CSRNDArray - NDArray in Compressed Sparse Row S...

    CSRNDArray - NDArray in Compressed Sparse Row Storage Format Many real world datasets deal with high dimensional spar...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/sparse/csr.html
    Thu Jan 05 05:04:49 GMT 2023
      229K bytes
  4. NDArray Operations — Apache MXNet documentation

    NDArray Operations Overview This guide will introduce you to MXNet’s array operations. This content was extracted and...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/02-ndarray-ope...
    Thu Jan 05 05:04:49 GMT 2023
      181K bytes
  5. NDArray Contexts — Apache MXNet documentation

    NDArray Contexts Overview This guide will introduce you to managing CPU versus GPU contexts for handling data. This c...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/packages/legacy/ndarray/03-ndarray-con...
    Thu Jan 05 05:04:49 GMT 2023
      157.9K bytes
  6. Improving accuracy with Intel® Neural Compresso...

    Improving accuracy with Intel® Neural Compressor The accuracy of a model can decrease as a result of quantization. Wh...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/performance/backend/dnnl/dnnl_quantiza...
    Thu Jan 05 05:04:49 GMT 2023
      182.6K bytes
  7. mxnet.np.linalg.lstsq — Apache MXNet documentation

    mxnet.np.linalg.lstsq lstsq ( a , b , rcond='warn' ) Return the least-squares solution to a linear matrix equation. S...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.linalg.lstsq.html
    Thu Jan 05 05:04:49 GMT 2023
      139.1K bytes
  8. mxnet.np.random.f — Apache MXNet documentation

    mxnet.np.random.f f ( dfnum , dfden , size=None , device=None ) Draw samples from an F distribution. Samples are draw...
    mxnet.apache.org/versions/master/api/python/docs/api/np/random/generated/mxnet.np.random.f.html
    Thu Jan 05 05:04:49 GMT 2023
      145.3K bytes
  9. Step 3: Automatic differentiation with autograd...

    Step 3: Automatic differentiation with autograd In this step, you learn how to use the MXNet autograd package to perf...
    mxnet.apache.org/versions/master/api/python/docs/tutorials/getting-started/crash-course/3-autogra...
    Thu Jan 05 05:04:49 GMT 2023
      181.8K bytes
  10. mxnet.np.column_stack — Apache MXNet documentation

    mxnet.np.column_stack column_stack ( tup ) Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D array...
    mxnet.apache.org/versions/master/api/python/docs/api/np/generated/mxnet.np.column_stack.html
    Thu Jan 05 05:04:49 GMT 2023
      136.2K bytes
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