tensorflow/word2vec_basic.py at master · tensorflow/tensorflow · GitHubDismiss Join GitHub today GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Sign up
models/research/im2txt at master · tensorflow/models · GitHub
Show and Tell: A Neural Image Caption Generator A TensorFlow implementation of the image-to-text model described in the paper: "Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge." Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan. IEEE transactions on pattern analysis and machine intelligence (2016). Full text available at: http://arxiv.org/abs/1609.06647 Con
out of memory when using BatchNormalization on convolutional layers · Issue #6661 · keras-team/keras
Please make sure that the boxes below are checked before you submit your issue. If your issue is an implementation question, please ask your question on StackOverflow or join the Keras Slack channel and ask there instead of filing a GitHub issue. Thank you! [v ] Check that you are up-to-date with the master branch of Keras. You can update with: pip install git+git://github.com/fchollet/keras.git -
tensorflow/tensorflow
System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 14.04 TensorFlow installed from (source or binary): Source TensorFlow version (use command below): Python version: Python3.6 Bazel version (if compiling from source): GCC/Compiler version (if compiling from sourc
tensorflow/tensorflow/contrib/lite at master · tensorflow/tensorflow · GitHub
This change moves //tensorflow/contrib/lite to //tensorflow/lite in preparation for TensorFlow 2.0's deprecation of contrib/. If you refer to TF Lite build targets or headers, you will need to update them manually. If you use TF Lite from the TensorFlow python package, "tf.contrib.lite" now points to "tf.lite". Please update your imports as soon as possible. For more details, see https://groups.go
Mac + Python 3.6.1: Attempting to download mnist data results in CERTIFICATE_VERIFY_FAILED error · Issue #10779 · tensorflow/tensorflow
System information Have I written custom code (as opposed to using a stock example script provided in TensorFlow): No OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Mac OS X 10.12.5 TensorFlow installed from (source or binary): binary TensorFlow version (use command below): v1.2.0-rc2-21-g12f033d 1.2.0 Bazel version (if compiling from source): n/a CUDA/cuDNN version: none GPU model and m
models/detection_model_zoo.md at master · tensorflow/models · GitHub
Tensorflow detection model zoo We provide a collection of detection models pre-trained on the COCO dataset, the Kitti dataset, the Open Images dataset, the AVA v2.1 dataset and the iNaturalist Species Detection Dataset. These models can be useful for out-of-the-box inference if you are interested in categories already in those datasets. They are also useful for initializing your models when traini
Error importing tensorflow on windows 10 ( Tensorflow 0.12.0 RC0, python3.5 ) · Issue #5949 · tensorflow/tensorflow
Was excited to try out 0.12.0 RC0 for windows Followed Tensorflow 0.12.0 RC0 Installation guide for Windows, on Windows 10. Ran into following error. Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32 Type "copyright", "credits" or "license()" for more information. import tensorflow Traceback (most recent call last): File "C:\Users\hp\AppData\Local\Progr
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nmt/README.md at master · tensorflow/nmt
tensorflow/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py at v0.6.0 · tensorflow/tensorflow
Issues in Keras model loading in Tensorflow Serving · Issue #2310 · keras-team/keras
Batch Normalization Problem · Issue #1446 · keras-team/keras
changing loss weight during training · Issue #6446 · keras-team/keras
changeable loss weights for multiple output · Issue #2595 · keras-team/keras
LSTM Autoencoder · Issue #1401 · keras-team/keras
Does it make sense that the validation loss is lower than training loss? · Issue #472 · keras-team/keras
ecosystem/spark/spark-tensorflow-connector at master · tensorflow/ecosystem
Operations used for inference are dropped by optimize_for_inference · Issue #8242 · tensorflow/tensorflow
models/research/object_detection at master · tensorflow/models
tensorflow/RELEASE.md at master · tensorflow/tensorflow
