Do I absolutely need to use jupyter notebook to run TensorFlow in Windows ?
I tried the detect object example with the jupyter notebook, it works but I'm not really comfortable, Im used to notepad++ and running python directly on my windows without virtual environment.
I tried to copy past all the codes but I run into many hugs.
No, it is not compulsory to use Jupyter notebook to run Tensorflow on Windows. I personally use PyCharm as my IDE and Anaconda for dependency management (this is completely optional).
I would recommend you to use a proper IDE instead of notepad++ because it's much easier to do debugging using an IDE. You'll also be cloning a lot from Git when you start developing your own model, and usually the open source models out there has a lot of classes and methods in it (take Google's Inception net for example).
Another alternative would be maybe you can start posting about the bugs you are facing, then we can all start helping you.
Related
My problem is the following: I want to run a Jupyter notebook on my remote desktop and access it via my laptop elsewhere. I have accomplished this, but I can't use my GPU for tensorflow because the GPU-supported version is only installed in my custom, non-base environment. Even though all of my installed jupyter kernels are available, it seems things don't work right unless I run 'jupyter notebook' from within the correct activated conda environment (says "no GPU" even though I select as the kernel the one where tensorflow-gpu is installed).
Is there a simple way of running jupyter notebook from within that environment by a batch script? I also need it to run the notebook on a secondary drive.
I could of course just start up the server while at home and then access it using the token, but that's a little clumsy.
I've found a solution. On windows, in %AppData%\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3, there are shortcuts for various Anaconda-related programs, including Jupyter notebook for each environment.
The shortcut for Jupyter notebook for my given env is
`E:\Software\Anaconda3\python.exe E:\Software\Anaconda3\cwp.py E:\Software\Anaconda3\envs\tf E:\Software\Anaconda3\envs\tf\python.exe E:\Software\Anaconda3\envs\tf\Scripts\jupyter-notebook-script.py "%USERPROFILE%".
I modified this to end in '"E:" --no-browser' instead of the userprofile bit and made that into a script. Now when I SSH into the computer and run this script, the notebook is within the correct environment and I have access to my GPU, all on the correct drive, E.
I'm Attempting to run "First steps with Tensorflow" locally, outside of colab. Not really familiar with colab so I don't know how to access the "dataframes" such as "california_housing_dataframe", etc. Evidently colab "knows" how to access the dataframes in the example but I am attempting to run the exercise natively on my local system.
Thank You
I think you should have Pandas library locally installed. Then, I think it would run natively.
A screen shot of my problem
I have been trying to install Keras for about a week now. I installed Anaconda and then Tensorflow with Python3.5 and Jupyter. When I start up with the Anaconda3 prompt it always gives me the message
>was unexpected at this time
C:\Users\Ray Van>#IF NOT "==" #chcp > NUL
C:\Users\Ray Van>
I used to be able to just say
Jupyter Notebook but it doesn't like this
Also I want to say activate tensorflow and then say jupyter notebook and then run a Python program with Keras (for Neural networks) but no matter what I tried, nothing works. I read somewhere that having the blank in the name \Ray Van] can be a problem but I didn't set that up. Somehow it was just set up by Windows 10 and from reading various posts, it seem very difficult to change without risking having to install Windows10 again. Various places say that it is very easy to install Keras, but I have found the opposite after trying several days for 3 hours at a time. But I am not good at installing things like this and don't really understand how all the things are connected. Maybe I have to start over and install Anaconda and then tensorflow and then from within the tensorflow environment install Keras and Jupyter. I know the pip command or the conda command are used for this but I don't really understand that either. So a total newbie who just wants to run some Python programs for my Neural Network research using Keras.
I want to install TensorFlow framework in robot NAO ,
How to do it ?
Great question! The NAO is a linux machine, so technically it might be possible. Unfortunately, the NAO also has a limited amount of computational power... Depending on the plan you have it might be a better idea to set up an external computer that does the heavy computations for you. This all depends on the application you want to build.
If you decide to install tensorflow on Nao: simply try to use SSH (or Putty) to get a console you can use to install tensorflow.
If you decide to use an external server: maybe this program I wrote a long time ago helps you: https://github.com/rmeertens/nao-wit . It is an example of how to send speech to an external server.
Good luck!
I do not have internet access on my linux computer therefore I installed TF from source by following TensorFlow Get Started.
I ran into a few trouble to build trainer_example due to the lack of internet connection hopefully someone from tensorflow helped me through it by creating local repositories for re2, gemmlowp, jpegsrc v9a, libpng and six and modifying WORKSPACE accordingly.
When I try to bazel build pip_package to create the wheel then I think I run into the same problem but :
-the list of repositories is insanely long (to manually install each of them) even if they seem to be mostly part of PolymerElements
Is there an easy workaround ?
If you are happy to create a PIP package without TensorBoard, you should be able to avoid rewriting the Polymer dependencies by removing this line ("//tensorflow/tensorbaord" in the build_pip_package dependencies) from tensorflow/tools/pip_package/BUILD.