The puts the power of deep learning into the hands of engineers and data scientists. DIGITS is not a framework. DIGITS is a wrapper for NVCaffe™, Torch™, and TensorFlow™; which provides a graphical web interface to those frameworks rather than dealing with them directly on the command-line. DIGITS can be used to rapidly train highly accurate deep neural network (DNNs) for image classification, segmentation, object detection tasks, and more. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real time with advanced visualizations, and selecting the best performing model from the results browser for deployment. DIGITS is completely interactive so that data scientists can focus on designing and training networks rather than programming and debugging.

• Download and install Python 2.7.11 64bit from Python's official site (). Please select Add Python Path during installation. • Download numpy, scipy, matplotlib, scikit-image, h5py from Unofficial Windows Binaries for Python Extension Packages webpage at (). Remember to download correct version (2.7) and architecture (64-bit). • Additionally, download gevent v1.0.2 at the same site. Run command prompt (cmd.exe) as administrator, and issue the following commands: python -m pip install cython python -m pip install numpy-1.11.0+mkl-cp27-cp27m-win_amd64.whl python -m pip install scipy-0.17.0-cp27-none-win_amd64.whl python -m pip install matplotlib-1.5.1-cp27-none-win_amd64.whl python -m pip install scikit_image-0.12.3-cp27-cp27m-win_amd64.whl python -m pip install h5py-2.6.0-cp27-cp27m-win_amd64.whl If the installation process complains compiler not found, you need to install Microsoft Visual C++ Compiler for Python 2.7, available at. Nvidia recommend installing it using: msiexec /i VCForPython27.msi ALLUSERS=1 After that compiler is installed, finish the above python -m pip install commands.

Install gevent after installing DIGITS. You can get Caffe at (). Note you need to install Visual Studio 2013 to build Caffe. Before building it, enable Python support, CUDA and CuDNN by following instructions on the same page. Because we are using Official CPython, please change the value of PythonDir tag from C: Miniconda2 to C: PYTHON27 (assume your CPython installation is the default C: PYTHON27). After building it, configure your Python environment to include pycaffe, which is described at (). Your caffe.exe will be inside Build x64 Release directory (if you made release build).

You may see an error about Pillow, like ValueError: jpeg is required unless explicitly disabled using --disable-jpeg, aborting. Nas ft damian marley patience mp3 download. If this is the case, download Pillow Windows Installer (Pillow-3.1.1.win-amd64-py2.7.exe) at and run the exectuables.

Jan 16, 2016 - If you don't know what deep learning is, here is a great guide to getting started: Setup My setup: Windows 8.1 on 64bit.

After installing Pillow as described above, run python -m pip install -r requirements.txt again. After the above command, check if all required Python dependencies are met by comparing requirements.txt and output of the following command: python -m pip list If gevent is not v1.0.2, install it from the whl file, downloaded previously from (). Python -m pip install gevent-1.0.2-cp27-none-win_amd64.whl It should uninstall the gevent you had, and install gevent 1.0.2. Because readline is not available in Windows, you need to install one additional Python package. Python -m pip install pyreadline. This issue should have been resolved.

However, if you still encounter this issue, this seems related to different hdf5 DLL binding between pycaffe and h5py. The DLL used by pycaffe was pulled from nuget, and its version is 1.8.15.2. Slightly older than the DLL in h5py. A temporary solution is to load h5py before pycaffe. To force loading h5py before pycaffe, you can either add one line at the beginning of digits-devserver file, or import h5py just before import caffe in digits/config/caffe_option.py.

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