Setting large batch_size in logistic regression method will result output nan · Issue #307 · tensorflow/tensorflow
import tensorflow as tf import numpy as np import melt_dataset import sys from sklearn.metrics import roc_auc_score def init_weights(shape): return tf.Variable(tf.random_normal(shape, stddev=0.01)) def model(X, w): return 1.0/(1.0 + tf.exp(-(tf.matmul(X, w)))) ./logistic_regression.py corpus/feature.normed.rand.12000.0_2.txt corpus/feature.normed.rand.12000.1_2.txt notice if setting batch_size too
models/lm_1b at master · tensorflow/models · GitHub
README.md Language Model on One Billion Word Benchmark Authors: Oriol Vinyals ( vinyals@google.com , github: OriolVinyals), Xin Pan ( xpan@google.com , github: panyx0718) Paper Authors: Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu TL;DR This is a pretrained model on One Billion Word Benchmark. If you use this model in your publication, please cite the original paper: @a
tensorflow/tensorflow/contrib/slim at master · tensorflow/tensorflow · GitHub
TensorFlow-Slim TF-Slim is a lightweight library for defining, training and evaluating complex models in TensorFlow. Components of tf-slim can be freely mixed with native tensorflow, as well as other frameworks, such as tf.contrib.learn. Usage Why TF-Slim? TF-Slim is a library that makes defining, training and evaluating neural networks simple: Allows the user to define models much more compactly
models/textsum at master · tensorflow/models · GitHub
README.md Sequence-to-Sequence with Attention Model for Text Summarization. Authors: Xin Pan ( xpan@google.com , github:panyx0718), Peter Liu ( peterjliu@google.com ) Introduction The core model is the traditional seqeuence-to-sequence model with attention. It is customized (mostly inputs/outputs) for the text summarization task. The model has been trained on Gigaword dataset and achieved state-of
osx 10.11 installation issues · Issue #135 · tensorflow/tensorflow
Trying to install it with pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.wh. Same issue if doing it with virutalenv. Exception: Traceback (most recent call last): File "/Users/Schmidt/anaconda/lib/python2.7/site-packages/pip/basecommand.py", line 211, in main status = self.run(options, args) File "/Users/Schmidt/anaconda/lib/python2.7/site-packages/pip/comm
Generalize slicing and slice assignment ops (including gather and scatter) · Issue #206 · tensorflow/tensorflow
We should make our slicing and assignment ops more general to capture more of the functionality of numpy slicing, and add __getitem__ sugar for all of it. Specifically, We should have a 2.5 dimensional set of ops, with dimensions (1) get vs. set, (2) slice type, and for the assignment ops (3) the update op. Currently we have slice, assign_update, assign_add, assign_sub, gather, scatter_update, sca
Error:use tensorflow_cifar-10 model on tensorflow android camera · Issue #2923 · tensorflow/tensorflow
I am very new to tensorflow. Now I am trying to use tensorflow_cifar-10 model on tensorflow android camera, the app is running but there is no output. At first I have tried this example: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/android This example uses the .pb file at: https://storage.googleapis.com/download.tensorflow.org/models/inception5h.zip It works well. Then
tensorflow/tensorflow/examples/skflow at master · tensorflow/tensorflow · GitHub
README.md Examples of Using skflow Scikit Flow is high level API that allows to create, train and use deep learning models easily with well known Scikit Learn API. To run these examples, you need to have scikit learn library installed ( sudo pip install sklearn ). Some examples use the pandas library for data processing ( sudo pip install pandas ). Basics Deep Neural Network Regression with Boston
tensorflow/tensorflow/contrib/ios_examples at master · tensorflow/tensorflow · GitHub
README.md TensorFlow iOS Examples This folder contains examples of how to build applications for iOS devices using TensorFlow. Building the Examples You'll need Xcode 7.3 or later, with the command-line tools installed. Follow the instructions at tensorflow/contrib/makefile under "iOS" to compile a static library containing the core TensorFlow code. Download Inception v1 , and extract the label an
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tensorflow/tensorflow/models/image/cifar10/cifar10_multi_gpu_train.py at r0.10 · tensorflow/tensorflow
error when building from source · Issue #1413 · tensorflow/tensorflow
tensorflow/tensorflow/go at master · tensorflow/tensorflow
tensorflow/tensorflow/models/image/cifar10 at r0.7 · tensorflow/tensorflow
tensorflow/tensorflow/models/image/alexnet at master · tensorflow/tensorflow · GitHub
magenta/magenta/reviews/README.md at main · magenta/magenta
magenta/magenta/reviews at main · magenta/magenta
'convolutional.py' considered harmful? · Issue #609 · tensorflow/tensorflow
Change test set in mnist demo to use batches to avoid being OOM (>4GB) on gpu. by mtourne · Pull Request #157 · tensorflow/tensorflow
ResourceExhaustedError in CNN/MNIST example (with GPU) · Issue #136 · tensorflow/tensorflow
tensorflow/tensorflow/contrib/learn/python/learn at master · tensorflow/tensorflow · GitHub