tensorflow/mnist_with_summaries.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
GitHub - tensorflow/fold: Deep learning with dynamic computation graphs in TensorFlow
TensorFlow Fold is a library for creating TensorFlow models that consume structured data, where the structure of the computation graph depends on the structure of the input data. For example, this model implements TreeLSTMs for sentiment analysis on parse trees of arbitrary shape/size/depth. Fold implements dynamic batching. Batches of arbitrarily shaped computation graphs are transformed to produ
models/inception at master · tensorflow/models · GitHub
README.md Inception in TensorFlow ImageNet is a common academic data set in machine learning for training an image recognition system. Code in this directory demonstrates how to use TensorFlow to train and evaluate a type of convolutional neural network (CNN) on this academic data set. In particular, we demonstrate how to train the Inception v3 architecture as specified in: Rethinking the Inceptio
Release TensorFlow 1.0.0-rc0 · tensorflow/tensorflow
Major Features and Improvements XLA (experimental): initial release of XLA, a domain-specific compiler for TensorFlow graphs, that targets CPUs and GPUs. TensorFlow Debugger (tfdbg): command-line interface and API. New python 3 docker images added. Made pip packages pypi compliant. TensorFlow can now be installed by pip install tensorflow command. Several python API calls have been changed to rese
tensorflow/ios_image_load.mm at master · tensorflow/tensorflow · GitHub
// Licensed under the Apache License, Version 2.0 (the "License");
Nvidia GTX 960: Abnormal Memory Usage · Issue #6452 · tensorflow/tensorflow
Environment info Operating System: Ubuntu 16.04 Installed version of CUDA and cuDNN: (please attach the output of ls -l /path/to/cuda/lib/libcud*): -rw-r--r-- 1 root root 558720 Dec 17 21:39 libcudadevrt.a lrwxrwxrwx 1 root root 16 Dec 17 21:39 libcudart.so -> libcudart.so.8.0 lrwxrwxrwx 1 root root 19 Dec 17 21:39 libcudart.so.8.0 -> libcudart.so.8.0.44 -rwxr-xr-x 1 root root 415432 Dec 17 21:39
memory leak in tensorflow_gpu 0.12.1 · Issue #6599 · tensorflow/tensorflow
#!/bin/env python import tensorflow as tf import Config import Utilities from Dataset import Dataset from Model import Model dataset = Dataset() sess_config = tf.ConfigProto() sess_config.gpu_options.allow_growth = True sess = tf.Session(config=sess_config) images, labels = dataset.train_images_labels() model = Model(images, labels, training=True) tf.train.start_queue_runners(sess=sess) def main(g
Release TensorFlow 1.0.0-alpha · tensorflow/tensorflow
Major Features and Improvements TensorFlow Debugger (tfdbg): command-line interface and API. New python 3 docker images added. Made pip packages pypi compliant. TensorFlow can now be installed by pip install tensorflow command. Android: person detection + tracking demo implementing Scalable Object Detection using Deep Neural Networks. Android: pre-built libs are now built nightly. New (experimenta
tensorflow/README.md at master · tensorflow/tensorflow · GitHub
TensorBoard TensorBoard is a suite of web applications for inspecting and understanding your TensorFlow runs and graphs. TensorBoard currently supports five visualizations: scalars, images, audio, histograms, and the graph. This README gives an overview of key concepts in TensorBoard, as well as how to interpret the visualizations TensorBoard provides. For an in-depth example of using TensorBoard,
CuSPARSE support · Issue #5193 · tensorflow/tensorflow
For some machine learning /algorithm problems, we require to multiply matrices with vectors. In some cases - especially those associated with large graph analytics, the matrices are sparse. Given the major limitation with GPUs is the limited GPU memory, representing the matrix in sparse format is vital. To this end, the CUSPARSE libraries (http://docs.nvidia.com/cuda/cusparse/) provide a suitable
[Windows] Tensorflow GPU fails to find CUDA. · Issue #5968 · tensorflow/tensorflow
NOTE: Only file GitHub issues for bugs and feature requests. All other topics will be closed. For bugs or installation issues, please provide the following information. The more information you provide, the more easily we will be able to offer help and advice. What related GitHub issues or StackOverflow threads have you found by searching the web for your problem? NONE (Tensorflow for Windows is v
![[Windows] Tensorflow GPU fails to find CUDA. · Issue #5968 · tensorflow/tensorflow](https://cdn-ak-scissors.b.st-hatena.com/image/square/7bf597e6823c009c9ab8fd03d75b520ef591cc6f/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2F6037a1b876413fa86a6204993ac9ac87a5560c81f66b5fb555e5f7048c7e0422%2Ftensorflow%2Ftensorflow%2Fissues%2F5968)
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Moved tensorflow/models to models/tutorials and replaced all tutorial… · tensorflow/tensorflow@4a8bd58
models/slim/nets at master · tensorflow/models · GitHub
Beam Search 4 Translate.py · Issue #654 · tensorflow/tensorflow
Beam Search Wrapper by anair13 · Pull Request #3756 · tensorflow/tensorflow
How to save a graph · Issue #38 · tensorflow/models
GitHub - kevinhughes27/TensorKart: self-driving MarioKart with TensorFlow
tensorflow/tensorflow/core/distributed_runtime/rpc at master · tensorflow/tensorflow
tensorflow/RELEASE.md at r0.12 · tensorflow/tensorflow
GitHub - MoriKen254/DeepLearningWithPython: Implementation of Deep Learning Algorithm with Python from scratch.
