{"push_id":2864934823,"size":9,"distinct_size":2,"ref":"refs/heads/master","head":"244546c2fe5165b6770eb456afd5fac8878473c5","before":"f9210387088fe91b5bc8999cf0cb41a0fe9eacf6","commits":[{"sha":"66f8cc7ac4942f7f9fe0164a2a854a6264b87735","author":{"name":"Qianli Scott Zhu","email":"65d81eb4203ec9a5a8b298abc5184127125bc9fe@google.com"},"message":"Update the RNN cell API to be explicit about output_size. (#11021)\n\n* Update the RNN cell API to be explicit about output_size.\r\n\r\nThe existing contract of state_size[0] to be output size is bit\r\nweird and might cause unnecessary contrain for supporting higher\r\ndimension input/output/states. Adding explicit output_size to cell\r\nso that the contract is not inferred by state_size anymore.\r\n\r\nFor backward compat reason, if a cell does not implement\r\noutput_size, the state_size[0] will be used as output_size.\r\n\r\nThe stackedRNNCells is also updated to by default return natural\r\norder state_size as the cells' state, instead of reverse order.\r\nFor any user who rely on the states of the RNN, eg\r\nRNN(return_state=True), please add the extra param\r\nreverse_state_order=True while constructing the StackedRNNCells.\r\n\r\n* Update warning message for keywords.\r\n\r\n* Fix unit test.\r\n\r\n* Fix the cntk backend for RNN, and update test case.\r\n\r\n* Update comment and tests.","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/66f8cc7ac4942f7f9fe0164a2a854a6264b87735"},{"sha":"a9d9595101f7e38780f197dfde643fcfcc0814d3","author":{"name":"Taehoon Lee","email":"b1c1d8736f20db3fb6c1c66bb1455ed43909f0d8@taehoonlee.com"},"message":"Revise the performance table for applications (#11085)","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/a9d9595101f7e38780f197dfde643fcfcc0814d3"},{"sha":"105f6e2964b8f28fd4d05c0e538b492ee7fc5020","author":{"name":"Jinjin Lin","email":"fd8d799c9d7e2616d805d4aec5194d8a0f8d122e@outlook.com"},"message":"Update variational_autoencoder_deconv.py (#11081)","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/105f6e2964b8f28fd4d05c0e538b492ee7fc5020"},{"sha":"9e1a0df3cd1d1bbbe7f9010c4c943bedfdfc3487","author":{"name":"Gabriel de Marmiesse","email":"40cb226a9ebd341312f9a230785978fcc568e9b6@gmail.com"},"message":"Skipped the training tests when the layer has the same behavior at training and testing time. (#11089)","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/9e1a0df3cd1d1bbbe7f9010c4c943bedfdfc3487"},{"sha":"2780ab0c9712b41c34693758141f30ae3d3c2e7f","author":{"name":"Frédéric Branchaud-Charron","email":"0abadae21578c49fa71bcf5c29404443ccef5d4a@usherbrooke.ca"},"message":"Refactor Enqueuers  (#11079)\n\n* Refactor data_utils\r\n\r\n* Fix for python 2\r\n\r\n* Fix for python 2\r\n\r\n* Fix super\r\n\r\n* Better ux\r\n\r\n* Make pool init private","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/2780ab0c9712b41c34693758141f30ae3d3c2e7f"},{"sha":"23c20f756be07a9e92d9513181eca850fcf2af62","author":{"name":"Alfas Esty","email":"f3109931e1253d8717a594fe8416f9ed00e6d058@gmail.com"},"message":"Section for Training history visualization (#11076)\n\n* Section for Training history visualization\r\n\r\nAdded a section for training history visualization using matplotlib, inspired by https://machinelearningmastery.com/display-deep-learning-model-training-history-in-keras/\r\n\r\n* Fix style\r\n\r\n* Fix style","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/23c20f756be07a9e92d9513181eca850fcf2af62"},{"sha":"c2a6caae852adb0c832da86d5815c26b2e7d24c6","author":{"name":"Gabriel de Marmiesse","email":"40cb226a9ebd341312f9a230785978fcc568e9b6@gmail.com"},"message":"Made an abstract class for upsampling. (#11065)","distinct":false,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/c2a6caae852adb0c832da86d5815c26b2e7d24c6"},{"sha":"9400be98783135a1d42dd238f4e6c3aa048eceea","author":{"name":"Yanbo Liang","email":"452ae006f36be6c70342f33f64bb6f6eb552689c@gmail.com"},"message":"Add missing raise for ValueError at Embedding compute_output_shape (#11091)\n\n* Add missing raise for ValueError at Embedding compute_output_shape\r\n\r\n* Add unit tests.","distinct":true,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/9400be98783135a1d42dd238f4e6c3aa048eceea"},{"sha":"244546c2fe5165b6770eb456afd5fac8878473c5","author":{"name":"Yanbo Liang","email":"452ae006f36be6c70342f33f64bb6f6eb552689c@gmail.com"},"message":"Fix TF Function accepts session_kwargs: options and run_metadata (#11107)","distinct":true,"url":"https://api.github.com/repos/gabrieldemarmiesse/keras/commits/244546c2fe5165b6770eb456afd5fac8878473c5"}]}
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