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    Loreto Parisi
    @loretoparisi
    keras/ how to get the word index for a input dataset - when it is not defined in the dataset itself - like for the imdb dataset?
    Rishab Goel
    @RishabGoel
    Hi can some give some tips on debugging tensorflow code??
    I am getting 100% accuracy on mnist simple model using Single layer model
    and that to after 1000 training examples///
    stingzheng
    @stingzheng
    hi tensorflow user from China.
    Rabindra Nath Nandi
    @robi56
    hi
    i want to use validation monitor in CNN
    while work with MNIST data
    classifier.fit(x=training_set.data,
    y=training_set.target,
    steps=2000, monitors=[validation_monitor])
    Vikas Raunak
    @vyraun
    Hi, I was trying the seq2seq tutorial of tensorflow. It has 20 GB dataset. My VM on Google cloud compute is throwing me out of memory error while unpacking the data file. I have 8vCPUs, 10 GB instance. But that's ram, and I have 30GB disk. How do you guys do experiments with such data? Using AWS EMR ?
    Rishab Goel
    @RishabGoel
    Hi
    Could some tell me a good resource to read about the details, types, training algorithms etc in depth about a Recurrent Neural Network?
    Vikas Raunak
    @vyraun
    @RishabGoel hi,
    Vikas Raunak
    @vyraun
    Ilya sutskever's PhD thesis is in fact titled Training RNNs.
    Rishab Goel
    @RishabGoel
    @vyraun could you post a link?
    Thomas Mundt
    @tmundt
    @RishabGoel Did you try to read the tutorial on the official tensorflow website? There are also links on it referring to further readings.
    Rishab Goel
    @RishabGoel
    @tmundt Thanks for the pointer. I saw that but it didnt give me a very good intuition or mathematical justification as to why it is doing the things as it does?
    @vyraun thanks got the link on web
    I think a project might be good way to truly understand! is someone interested in doing one with me?
    Thomas Mundt
    @tmundt
    Sounds good.
    @vyraun Did you solve the problem with the big data? This example seems to be too huge to be processed by normal matters. Is not there out another one not that big?
    Vikas Raunak
    @vyraun
    @tmundt I haven't tried again after upgrading my VM. But I guess, other nmt tutorials must be there too.
    Ancas Horia
    @ancashoria
    hey, I have a problem when fitting my model using tflearn. It says: IndexError: list index out of range
    What shape should X and Y have for this to work ?
    Rohith Radhakrishnan
    @radrohit
    Hi guys, does any of you have a pretrained model (convolutional network). I am trying to visualize the hidden layers.
    Danijar Hafner
    @danijar
    I don't, but you can easily run the code from one of the official TF tutorials on conv nets.
    chotasanjiv
    @chotasanjiv
    Hi Guys,
    do you know any data set which contains flower images,
    i have created a custom set using google images but getting the following error when i run "tensorflow/tensorflow/examples/image_retraining/retrain.py" CRITICAL:tensorflow:Label inception has no images in the category training.
    kduy
    @kduy
    @chotasanjiv : it 's here
    James
    @JamesDaniel
    Hey, does anyone know any good rooms to learn the math behind neural networks. Thanks in advance
    gumnn
    @arita37
    Onuray Sahin
    @onurays

    Hey, is anyone working on im2txt model? What was the final training loss at the end of the training process (for 1M epoch)?

    For me it is iterating 61763 and training loss is 2.82 It was also 2.9x for the 35000th iteration. I would love to hear yours to see the ~difference.

    James
    @JamesDaniel
    Thanks @arita37
    Richard L. Burton III
    @rburton
    re
    Leonard Lee
    @leonardgithub
    Hi everone, I want to know how to classify my own images using tensorflow. Any idea?
    Xiaolin Zhang
    @leoncamel
    Hi, tf hackers. Is there any method that I can convert DT_FLOAT to DT_HALF/DF_BFLOAT16 in my graph? I am thinking of accerlate the performance for Forward path only.
    Pommier
    @jeanpat
    Hello, I've proposed a project for chromosomes segmentation : https://github.com/jeanpat/DeepFISH . Up to now there are datasets (82146 images+ground-truth labels) and python notebooks (way to generate datasets, scikit-image based). The notebooks could be better: the size of the datasets are limited by the amount of RAM. The datasets are waiting to train a classifier.
    Xiaolin Zhang
    @leoncamel
    @jeanpat what kind of GPU card did you use?
    Pommier
    @jeanpat

    A small nvdia gpu: lspci -k | grep -A 2 -E "(VGA|3D)"
    00:02.0 VGA compatible controller: Intel Corporation 4th Gen Core Processor Integrated Graphics Controller (rev 06)
    Subsystem: CLEVO/KAPOK Computer Device 5000

        Kernel driver in use: i915

    --
    01:00.0 3D controller: NVIDIA Corporation GK208M [GeForce GT 740M] (rev ff)
    Kernel modules: nouveau, nvidia_drm, nvidia
    03:00.0 Network controller: Intel Corporation Wireless 7260 (rev 73)

    @leoncamel up to now, I don't know if I can train a cnn with the proposed data.
    Jeff James
    @jrjames83
    blob
    @onurays - I am training as we speak, at global step 275k
    I'm hoping at step 1,000,000 it will do reasonably good captioning - currently running at 1.6 global steps per second on an ec2 p2.xlarge single GPU machine (90 cents / hr on demand)
    Jeff James
    @jrjames83
    Did yours finish? Let me know how it's working
    Winter
    @malidong
    hi tensorflow user from Japan.
    Shikhar Srivastava
    @soilad
    Hello !
    I am facing an issue with Deepdream using an inception-v3 net that was retrained on my own image dataset.
    The graph for the retrained inception-v3-net is quite different. And subsequently, I'm finding altering the Deepdream notebook (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/deepdream/deepdream.ipynb), quite difficult.