? Visualizing dataset on Tensorboard

I am reading tutorials about TensorFlow visualization and found out Tensorboard. I would like to know how can I visualize for example, Iris dataset taken from UCI Machine Learning repository. I have b
 ? Tensor board Visualization

is there anything wrong with this code, cause this is generating an output folder with tf file inside, but when I am trying to run it on tensorboard its showing- No Graph definition file found.import
 ? How can I speed up deep learning on a non-NVIDIA setup?

Since I only have an AMD A10-7850 APU, and do not have the funds to spend on a $800-$1200 NVIDIA graphics card, I am trying to make due with the resources I have in order to speed up deep learning via
 ? Tensorflow's asymmetric padding assumptions

Why has Tensorflow chosen to prefer padding on the bottom right?With 'SAME' padding, to me it would feel logical to start the kernel's center anchor at the first real pixel. Due to the use of asymmetr
 ? Computing Edit Distance (feed_dict error)

I've written some code in Tensorflow to compute the edit-distance between one string and a set of strings. I can't figure out the error.import tensorflow as tfsess = tf.Session()# Create input datate
 ? TensorFlow always converging to same output for all items after training

This is the piece of code that I am working with:import tensorflow as tfimport numpy as npfrom PIL import Imagefrom os import listdirnodes_l1 = 500nodes_l2 = 100nodes_l3 = 500num_batches = 20num_epoch
 ? tf Iris - how to avoid warning message on deprecated estimator

Just started on tf. When running the Iris example, I ran into thiswarning:WARNING:tensorflow:From <...>/anaconda3/lib/python3.5/site-packages/tensorflow/contrib/learn/python/learn/estimators/dnn
 ? How to disable GPU in keras with tensorflow?

I want to compare processing time of my code with and without gpu. My backend of keras is Tensorflow. So it uses a GPU automatically. I use a model of keras/examples/mnist_mlp.py for comparing.I check
 ? How to to find location (ROI) of a recognized object in tensorflow

I was using the tensorflow android example which has a placeholder for the location of a ROI (see tensorflow/examples/android/src/.../Classifier.java), but it is not used. I would like to be able to
 ? Where is the workspace for tensorflow installed with anaconda?

I'm following the instruction here to build user written op library. But my tensorflow is installed with anaconda. On a step I should run the following command in terminal:$ bazel build -c opt //tenso
 ? Tensorflow - What is the difference between shapes (8,1) and (8,)

What is the difference between shapes (8,1) and (8,)?They both seem to define a vector of length 8. In TensorFlow, these are different shapes. The shape (8,) represents a vector of length 8, wherea
 ? What is the difference between tf.matmul and tf.batch_matmul in Tensorflow?

For example if I have the following data:x = tf.placeholder("float", [None, n, n])y = tf.placeholder("float", [None, n, n])Is there any difference between the two operations?res = tf.matmul(x,y)res =
 ? In tensorflow seq2seq framwork, How to train data of different bucket-size in one batch

I applied queued reader to tensorflow seq2seq to avoid reading the whole dataset into memory and process them all in advance. I didn't bucket the dataset into different bucket files first to ensure on
 ? In tensorflow seq2seq framwork, How to train data of different bucket-size in one batch

I applied queued reader to tensorflow seq2seq to avoid reading the whole dataset into memory and process them all in advance. I didn't bucket the dataset into different bucket files first to ensure on
 ? In tensorflow seq2seq framwork, How to train data of different bucket-size in one batch

I applied queued reader to tensorflow seq2seq to avoid reading the whole dataset into memory and process them all in advance. I didn't bucket the dataset into different bucket files first to ensure on
 ? How to process images of different sizes using Tensorflow?

I need to process images pixel-by-pixel just like the convolution operation. However, when I do it as follow with Tensorflow,height = tf.shape(img)[0]width = tf.shape(img)[1]for h in range(height):

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