提交 620ff18a authored 作者: notoraptor's avatar notoraptor

Fix typos and update infos

上级 e44334bb
...@@ -6,7 +6,7 @@ Release Notes ...@@ -6,7 +6,7 @@ Release Notes
Theano 1.0.1 (1st of December, 2017) Theano 1.0.1 (1st of December, 2017)
==================================== ====================================
This is a release of Theano, version ``1.0.1``, with important bug fixes. This is a maintenance release of Theano, version ``1.0.1``, with no new features, but some important bug fixes.
We recommend that everybody update to this version. We recommend that everybody update to this version.
...@@ -18,8 +18,8 @@ Highlights (since 1.0.0): ...@@ -18,8 +18,8 @@ Highlights (since 1.0.0):
- Fixed cuDNN reductions when axes to reduce have size ``1`` - Fixed cuDNN reductions when axes to reduce have size ``1``
- Attempted to prevent re-initialization of the GPU in a child process - Attempted to prevent re-initialization of the GPU in a child process
- Fixed support for temporar paths with spaces in Theano initialization - Fixed support for temporary paths with spaces in Theano initialization
- Whole spell checking - Spell check pass on the documentation
A total of 6 people contributed to this release since ``1.0.0``: A total of 6 people contributed to this release since ``1.0.0``:
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...@@ -165,9 +165,10 @@ Note: There is no short term plan to support multi-node computation. ...@@ -165,9 +165,10 @@ Note: There is no short term plan to support multi-node computation.
Theano Vision State Theano Vision State
=================== ===================
Here is the state of that vision as of December 1st, 2017 (after Theano 1.0.1): Here is the state of that vision as of November 15th, 2017 (after Theano 1.0.0):
* `MILA will stop developing Theano. <https://groups.google.com/d/msg/theano-users/7Poq8BZutbY/rNCIfvAEAwAJ>`_ * `MILA will stop developing Theano. <https://groups.google.com/d/msg/theano-users/7Poq8BZutbY/rNCIfvAEAwAJ>`_.
We will provide support for one year, starting from ``1.0`` release (November 15th, 2017 to November 15th, 2018).
* We support tensors using the `numpy.ndarray` object and we support many operations on them. * We support tensors using the `numpy.ndarray` object and we support many operations on them.
* We support sparse types by using the `scipy.{csc,csr,bsr}_matrix` object and support some operations on them. * We support sparse types by using the `scipy.{csc,csr,bsr}_matrix` object and support some operations on them.
* We have implementing/wrapping more advanced linear algebra operations. Still more possible. * We have implementing/wrapping more advanced linear algebra operations. Still more possible.
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