Hi @Rabia-Noureen, if you want to downgrade to theano 0.9, you can: run pip uninstall theano some couple of times, until all theano versions are uninstalled. From there, we can use pip to install Keras as well: $ pip install keras After Keras has finished installing, you can verify the install by opening up a terminal, accessing the keras virtual environment, and then importing the library (see Step #3 for an example on how to do this). The steps are as follows: 1. Uninstall pip uninstall theano pip install git+git://github.com/Theano/Theano.git@master To install release 0.1 of Lasagne from PyPI, run the following command: pip install Lasagne == 0.1 Iterate at the speed of thought. Accept any dependencies each of those steps wants to install: (neuralnets) C:\conda install theano (neuralnets) C:\conda install mingw libpython (neuralnets) C:\pip install tensorflow (neuralnets) C:\pip install … To install tensorflow for GPU you need to do the following command: pip install –upgrade tensorflow-gpu. 1.4 Install theano Install theano using pip install theano and create a .theanorc file in your HOME directory with following contents.

Use no-deps when you don’t want the dependencies of Theano to be installed through pip. This instruction will install the last version (1.4.0) of Tensorflow-gpu. conda install theano; conda install pygpu; pip install pymc3; Dont's ask why this should work - it does work for me. Step #3: Sym-link in OpenCV (optional) Accept any dependencies each of those steps wants to install: (neuralnets) C:\conda install theano (neuralnets) C:\conda install mingw libpython (neuralnets) C:\pip install tensorflow (neuralnets) C:\pip install … conda install mingw libpython. conda install mingw libpython.

Theano 1.0.4 (16th of January 2019) This is a maintenance release of Theano, version 1.0.4, with no new features, but some important bug fixes. Nils Werner Nils Werner. ! To try it with Keras change “theano” with the string “tensorflow” withing the file keras.json, reboot the anaconda prompt and re-digit import keras.

Python Theano uses a NumPy-esque syntax to express computation; it compiles these to run efficiently on CPU or GPU architectures. Add a new system variable to environment variables with variable name THEANO_FLAGS and variable value . Theano is nowavailable on PyPI, and can be installed via easy_install Theano, pip install Theanoor by downloading and unpacking the tarball and typing python setup.py install. [global] floatX = float32 device = gpu [nvcc] flags=-LC:\Anaconda\libs compiler_bindir=C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin Then run the project again, and it should work same way as under Python 3.4 (or higher) Installing Theano: For installing theano, the best approach is to use anaconda that you used earlier to install scipy. Install g++ sudo apt-get install g++ Use the above command to install G + +.

A little while back I tried doing this and after a lot of googling and trial and error, this is the process I used to get it to work. pip install theano . conda install linux-64 v1.0.4; win-32 v1.0.1; osx-64 v1.0.4; win-64 v1.0.4; To install this package with conda run one of the following: conda install -c conda-forge theano

Navigation. Homepage Download Statistics. A little while back I tried doing this and after a lot of googling and trial and error, this is the process I used to get it to work.

Those interested in bleeding-edge features should obtain the latest development version, available via: The installation in all the cases is trivial. Core Libraries N umpy is a math library/ foundation library for scientific computing in Python. An even more recent version of Theano will often work as well, but at the time of writing, a simple pip install Theano will give you a version that is too old.

Install pip sudo apt-get install python3-setuptools sudo easy_install3 pip 2. pip install theano . Confirm that C:\Program Files (x86)\Microsoft Visual Studio 12.0\VC\bin is in the PATH variable, if not add it.

Iterate at the speed of thought.