Luo Tao
8 years ago
commit
d114d8976a
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# Release v0.9.0
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## New Features:
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* New Layers
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* bilinear interpolation layer.
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* spatial pyramid-pool layer.
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* de-convolution layer.
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* maxout layer.
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* Support rectangle padding, stride, window and input for Pooling Operation.
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* Add —job=time in trainer, which can be used to print time info without compiler option -WITH_TIMER=ON.
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* Expose cost_weight/nce_layer in `trainer_config_helpers`
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* Add FAQ, concepts, h-rnn docs.
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* Add Bidi-LSTM and DB-LSTM to quick start demo @alvations
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* Add usage track scripts.
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## Improvements
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* Add Travis-CI for Mac OS X. Enable swig unittest in Travis-CI. Skip Travis-CI when only docs are changed.
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* Add code coverage tools.
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* Refine convolution layer to speedup and reduce GPU memory.
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* Speed up PyDataProvider2
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* Add ubuntu deb package build scripts.
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* Make Paddle use git-flow branching model.
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* PServer support no parameter blocks.
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## Bug Fixes
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* add zlib link to py_paddle
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* add input sparse data check for sparse layer at runtime
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* Bug fix for sparse matrix multiplication
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* Fix floating-point overflow problem of tanh
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* Fix some nvcc compile options
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* Fix a bug in yield dictionary in DataProvider
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* Fix SRL hang when exit.
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# Release v0.8.0beta.1
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New features:
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* Mac OSX is supported by source code. #138
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* Both GPU and CPU versions of PaddlePaddle are supported.
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* Support CUDA 8.0
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* Enhance `PyDataProvider2`
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* Add dictionary yield format. `PyDataProvider2` can yield a dictionary with key is data_layer's name, value is features.
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* Add `min_pool_size` to control memory pool in provider.
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* Add `deb` install package & docker image for no_avx machines.
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* Especially for cloud computing and virtual machines
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* Automatically disable `avx` instructions in cmake when machine's CPU don't support `avx` instructions.
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* Add Parallel NN api in trainer_config_helpers.
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* Add `travis ci` for Github
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Bug fixes:
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* Several bugs in trainer_config_helpers. Also complete the unittest for trainer_config_helpers
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* Check if PaddlePaddle is installed when unittest.
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* Fix bugs in GTX series GPU
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* Fix bug in MultinomialSampler
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Also more documentation was written since last release.
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# Release v0.8.0beta.0
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PaddlePaddle v0.8.0beta.0 release. The install package is not stable yet and it's a pre-release version.
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This dataset consists of electronics product reviews associated with
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binary labels (positive/negative) for sentiment classification.
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The preprocessed data can be downloaded by script `get_data.sh`.
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The data was derived from reviews_Electronics_5.json.gz at
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http://snap.stanford.edu/data/amazon/productGraph/categoryFiles/reviews_Electronics_5.json.gz
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If you want to process the raw data, you can use the script `proc_from_raw_data/get_data.sh`.
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./data/pred.txt
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the device is cute , but that 's just about all that 's good. the specs are what you 'd expect : it 's a wifi mic , with some noise filter options. the app has the option to upload your baby 's name and photo , which is a cutesy touch. but the app is otherwise unstable and useless unless you upgrade for $ 60 / year.set up involves downloading the app , turning on the mic , switching your phone to the wifi network of the mic , telling the app your wifi settings , switching your wifi back to your home router. the app is then directly connected to your mic.the app is adware ! the main screen says " cry notifications on / off : upgrade to evoz premium and receive a text message of email when your baby is crying " .but the adware points out an important limitation , this monitor is only intended to be used from your home network. if you want to access it remotely , get a webcam. this app would make a lot more sense of the premium features were included with the hardware .
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don 't be fooled by my one star rating. if there was a zero , i would have selected it. this product was a waste of my money.it has never worked like the company said it supposed to. i only have one device , an iphone 4gs. after charging the the iphone mid way , the i.sound portable power max 16,000 mah is completely drained. the led light no longer lit up. when plugging the isound portable power max into a wall outlet to charge , it would charge for about 20-30 minutes and then all four battery led indicator lit up showing a full charge. i would leave it on to charge for the full 8 hours or more but each time with the same result upon using. don 't buy this thing. put your money to good use elsewhere .
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ABOUT
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=======
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PaddlPaddle is an easy-to-use, efficient, flexible and scalable deep learning platform,
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which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
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PaddlePaddle is now open source but far from complete, which is intended to be built upon, improved, scaled, and extended.
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We hope to build an active open source community both by providing feedback and by actively contributing to the source code.
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Credits
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--------
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We owe many thanks to `all contributors and developers <https://github.com/PaddlePaddle/Paddle/blob/develop/authors>`_ of PaddlePaddle!
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Algorithm Tutorial
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==================
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.. toctree::
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:maxdepth: 1
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rnn/rnn.rst
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@ -1 +0,0 @@
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../../demo/sentiment_analysis/bi_lstm.jpg
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@ -1 +0,0 @@
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../../demo/text_generation/encoder-decoder-attention-model.png
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@ -1,5 +1,5 @@
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DataProvider Introduction
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=========================
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Introduction
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==============
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DataProvider is a module that loads training or testing data into cpu or gpu
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memory for the following triaining or testing process.
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How to use PyDataProvider2
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==========================
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PyDataProvider2
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=================
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We highly recommand users to use PyDataProvider2 to provide training or testing
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data to PaddlePaddle. The user only needs to focus on how to read a single
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API
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====
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DataProvider API
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----------------
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.. toctree::
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:maxdepth: 1
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data_provider/index.rst
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data_provider/pydataprovider2.rst
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Model Config API
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----------------
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.. toctree::
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:maxdepth: 1
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trainer_config_helpers/index.rst
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trainer_config_helpers/optimizers.rst
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trainer_config_helpers/data_sources.rst
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trainer_config_helpers/layers.rst
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trainer_config_helpers/activations.rst
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trainer_config_helpers/poolings.rst
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trainer_config_helpers/networks.rst
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trainer_config_helpers/evaluators.rst
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trainer_config_helpers/attrs.rst
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Applications API
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----------------
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.. toctree::
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:maxdepth: 1
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predict/swig_py_paddle_en.rst
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Python Prediction API
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=====================
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Python Prediction
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==================
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PaddlePaddle offers a set of clean prediction interfaces for python with the help of
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SWIG. The main steps of predict values in python are:
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Parameter Attributes
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=======================
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.. automodule:: paddle.trainer_config_helpers.attrs
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:members:
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