Install Theano

The following steps can be used to setup and configure Theano on your own profile. To install Keras, run the following command in a terminal: pip3. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently, featuring tight integration with NumPy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations and dynamic C code generation. I followed your article and faced an issue when implementing a simple experiment. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Step 2: Installing Theano - Once the dependencies are installed, you can download and install Theano. This tutorial only works with 2. Theano installation Param Ishan (upon Anaconda Python 2. Theano is a very famous Deep Learning Library in Python. 5 and PyCUDA on windows (for testing theano with GPU) My previous installation of CUDA on Ubuntu 14. It also shows how to check your theano is correctly installed. CentOS 7 is now shipping for 64 bit platforms, and currently there is no 32 bit ISO image. Theano is available from the default. Please use. io/keras-vis. Installing theano on windows 0. Installing Theano on windows for gpu - suspected nvcc version issue. The goal of this post is to serve as a concise and updated tutorial on how to get Theano working on Windows 10 using the. My goal was to set up my new Lenovo y50 so that the integrated Intel GPU is used for all interactive UI tasks, and the NVIDIA GPU only for computation tasks. Theano is a python library that translate python code into code which can be run on the gpu. Installing Theano on windows for gpu - suspected nvcc version issue. To install Theano, run the following command in a terminal: pip3. The project is on GitHub. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. 1; osx-64 v1. Theano Tutorial Theano is a software package which allows you to write symbolic code and compile it onto different architectures (in particular, CPU and GPU). By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy. zip解压到目录底下或者theano_installer_latest. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently, featuring tight integration with NumPy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations and dynamic C code generation. Theano Ioannidou, Actress: Ilektra. It's not meant for the faint-of-heart and will probably take a decent amount of time to download and install everything but in the end it's worth it. *FREE* shipping on qualifying offers. Installing Keras with Theano on Windows for Practical Deep Learning For Coders, Part 1 Posted July 31, 2017 September 22, 2017 ParallelVision The below instructions should have you set up with both Keras 1. Note: TensorFlow and Theano have difference image dimension orderings. Next, we have to register on NVIDIA to be able to download cuDNN, which is a GPU-accelerated library of primitives for deep neural networks. First things first: Get the dependencies. 0 and Theano Setup in Ubuntu linux for Deep learning. Theano dev zip downloaded from Theano’s mater branch in Github( don’t use pip install theano. It wraps Theano and TensorFlow (it benefits from the advantages of both) - Use luarocks to install required packages. 4; win-32 v1. #For Ubuntu sudo apt-get install graphviz #For MacOs brew install graphviz Configure Keras. I work under windows8, and use Anaconda + Spyder (as an ide) I decided to check whether Intel Distribution for Python may increase speed and other bottle-necks during work with Theano. Posted on Nov 24, 2015 • lo. Flexible Data Ingestion. In this chapter, we will learn about the environment set up for Python Deep Learning. conda install theano pygpu. It is a free, easy to install python distribution and package manager that has a collection of over 720 open source package. , using a GTX 750Ti graphics card. The single exception is Theano: Due to its tight coupling to Theano, you will have to install a recent version of Theano (usually more recent than the latest official release!) fitting the version of Lasagne you choose to install. so i tried to install without proxy (using mobile wifi) but still was not able to import theano and when i again tried to install using sudo pip install theano it shows following. "pip install Theano" installs the current stable branch of Theano, but that branch sometimes updates and breaks Windows installs of Theano when using it. My instructions for installing Theano 0. Documenting the steps how to setup Theano to run on GPU on Ubuntu 14. Deep learning is great! But it also has limitations. msi,不嫌麻烦你就去试,正确方式:cmd输入:pip install theano (pip用法看这里:pip 安装使用详解) 装完之后在ipython中输入以下两行代码测试一下: import theano. We strive to provide binary packages for the following platform. Please use. 5 and PyCUDA on windows (for testing theano with GPU) My previous installation of CUDA on Ubuntu 14. check_openmp to False. Keras only works with the latest Theano, best way to get the latest Theano is to install Theano directly from Github. Installing theano is annoying. Other than playing the latest games with ultra-high settings to enjoy your new investment, we should pause to realize that we are actually having a supercomputer able to do some serious computation. When you want to install Theano on your machine, perhaps Anaconda is a good choice. It is a full-featured (see what's inside WinPython 2. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. These two have been having "who is faster" competition going for a few years now. Torch's biggest competitor seems to be Theano, a popular deep-learning framework for Python. sklearn-theano. I updated theano "!pip install theano update" and installed Keras "!pip install keras. 7 or Python 3. 04 so I could run deep learning experiments. Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. Theano install for windows¶ A tutorial for Theano installing¶. I updated theano "!pip install theano update" and installed Keras "!pip install keras. Installing Theano on Windows 10, 64 bits, Python 3. I want to use Theano (actually Keras which lies on top of Theano) for the purposes of building classification / segmentation stuff. Select your preferences and run the install command. Thank you for posting in MSDN forum. と入力すれば、勝手にTheanoを探してくれる。. Its use is not limited to machine learning applications, but it was designed with machine learning in mind. This is going to be a tutorial on how to install tensorflow 1. Theano is not too easy to install on Windows. Like Scikit-learn for building Machine Learning models, we use Karas library to build Deep Learning models. More advanced models may be built by understanding this layer. Install CUDA Toolkit. Python itself must be installed first and then there are many packages to install, and it can be confusing for beginners. 1; osx-64 v1. Make sure. Theano features: tight integration with NumPy: a similar interface to NumPy’s. However, before you start you need to install theano. Before installing anything, let us first update the information about the packages stored on the computer and upgrade the already installed packages to their latest versions. It's hard to build a good NN framework: subtle math bugs can creep in, the field is changing quickly, and there are varied opinions on implementation details (some more valid than others). The following steps can be used to setup and configure Theano on your own profile. Bleeding-edge install instructions¶. NET version is embed component of windows. py develop". It is strongly recommend that Python, NumPy, SciPy, and Matplotlib are installed through the Anaconda distribution. Tools for Deep Learning development To start playing with Deep Learning one have to pick a proper tool for it. Alex test install Theano 0. Fwiw, we're using pylearn2 and blocks at Ersatz Labs. Its use is not limited to machine learning applications, but it was designed with machine learning in mind. cuDNN is part of the NVIDIA Deep Learning SDK. tensor as T Why Theano Python Library : Theano is a sort of hybrid between numpy and sympy, an attempt is made to combine the two into one. Anaconda is a package manager for python that simplifies setting up python environments and installing dependencies. Conda install skimage. Symbolic computing and deep learning tutorial with Tensorflow / Theano : learn basic commands of 2 libraries for the price of 1. Installing theano on windows 0. Step 1: Download The ISO Image. "pip install Theano" installs the current stable branch of Theano, but that branch sometimes updates and breaks Windows installs of Theano when using it. Then using pip install the numpy and scipy as you did for the Python 2. Prerequisites. Keras: The Python Deep Learning library. 0, TitanX GPU) due to pygpu errors Showing 1-13 of 13 messages. Also install graphviz. Abstract: Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Any arguments given will be passed to the python command, so you can do something like theano myscript. , for faster network training. 0, TitanX GPU) due to pygpu errors Showing 1-13 of 13 messages. Theano: Overview. The performance guide for Theano’s scan operator suggests minimizing the usage of the scan. 12 support - Conda packages for Mac, Linux and Windows - Support newer Mac and Windows versions - More Windows integration: - Theano scripts (``theano-cache`` and ``theano-nose``) now works on Windows - Better support for Windows end-lines into C codes - Support for space in. As of writing, Deep Learning package Theano can't be installed under Python 3. The era of Deep Learning and Machine Learning is at its peak. Hi everybody! I am using Theano framework to work with CNN. Being able to go from idea to result with the least possible delay is key to doing good research. This is important when they have already been installed as system packages. I followed your article and faced an issue when implementing a simple experiment. tt/1anDGua to install theano on windows (server 2012 R2). ive tried opening 'terminal' which i need as im doing a deep learning course but ive only been able to open command prompt. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. It is built on top of NumPy. Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. After you install theano, go back to python and run,. In this blog post, we will setup the environment for Deep Learning in Windows 10. [update] If you would like to skip the instructions and just install from an AMI, search the community for ami-b141a2f5 (Theano - CUDA 7) in the N. R interface to Keras. conda install theano. My instructions for installing Theano 0. Step 2 — install Theano We can use pip to install Theano, as shown in the following screenshot: - Selection from Deep Learning with Keras : Implement various deep-learning algorithms in Keras and see how deep-learning can be used in games [Book]. first step is to install Theano in your macbook. GTX 1070 on Ubuntu 16. Deep Learning with Theano: Perform large-scale numerical and scientific computations efficiently [Christopher Bourez] on Amazon. Anaconda is a package manager for python that simplifies setting up python environments and installing dependencies. To install Theano in the Dataiku python virtual environment, run: DATAIKU_DATA_DIR/bin/pip install Theano Don’t forget to setup your Theano configuration file with the options you want. Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. Like Scikit-learn for building Machine Learning models, we use Karas library to build Deep Learning models. Setting Up CUDA + cuDNN for Theano in Ubuntu. 5 install Theano==0. We're investigating it right now. You would find information or guide about Ubuntu easier than any. Theano-MPI is a python framework for distributed training of deep learning models built in Theano. It uses Theano, CUDA, and Anaconda. I am following the "Alternative:Anaconda" route and there I am instructed to type into my Windows command prompt, "conda install mingw libpython". Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Install Dependencies. How to install and setup Keras on Anaconda Python on Ubuntu 16. Theano* (Installation instructions) We strongly recommend installing Python, NumPy, SciPy, and matplotlib through the Anaconda Distribution. More advanced models may be built by understanding this layer. Theano is a Python library that allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays. py install to install it. By default, Keras is configured to use Tensorflow as the backend since it is the most popular choice. 04), you might get away with just running these two commands: sudo apt-get install python-numpy python-scipy python-dev python-pip python-nose g++ libopenblas-dev git sudo pip install Theano. run conda update conda. This sample shows how to import Theano and Keras into Azure ML and use them in Execute Python Script module. Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. I work under windows8, and use Anaconda + Spyder (as an ide) I decided to check whether Intel Distribution for Python may increase speed and other bottle-necks during work with Theano. Theano is a python library that translate python code into code which can be run on the gpu. Download and install the Theano Old Style free font family by Alexey Kryukov as well as test-drive and see a complete character set. This enables users to focus on algorithm/architecture design, saving the headache of gradient derivation. We shall use Anaconda distribution of Python for developing Deep Learning Applications with Theano. 7, Ubuntu 16. first step is to install Theano in your macbook. Keras: The Python Deep Learning library. This allows us to keep 3. The first part is here. Theano is most commonly used to perform Deep Learning and has excellent GPU support and integration through PyCUDA. To update your current installation see Updating Theano. 4; win-64 v1. The Theano website provides some instructions but is not clear as to what is specific to Anaconda. 10 Yakkety Yak, for Machine Learning, using either Theano or TensorFlow backend. xcode-select --install fi export PATH="${BREW_PATH}:${PATH}" # Ensure Homebrew formulae are updated "${BREW}" update if ! [[ -x "${GIT}" ]]; then "${BREW}" install git fi # Add science tap "${BREW}" tap homebrew/science # Python tools and utilities echo 'Would you like to use Python 2. 5 install Keras==2. Source: theano Source-Version: 1. For this purpose I decided to create this post, whose goal is to install CUDA and cuDNN on Red Hat Enterprise Linux 7 in a more transparent and reasonable way. 5 Environme. 3 Million Jobs by 2020. This should be suitable for many users. 4 64 bits Unfortunately, there seems to be little information regarding the installation of Theano on Windows systems. Keras: The Python Deep Learning library. This way you'll just need a version of VS compatible with the CUDA Toolkit as the other dependencies come from Anaconda in pre-compiled binary form. Tensorflow (both for CPU and GPU), Keras and Theano installation for Anaconda Navigator Python for Data Science, Machine Learning and Deep Learning Framework by using Anaconda Prompt. To get the latest bleeding edge version go to Theano on GitHub and download the latest zip. "pip install Theano" installs the current stable branch of Theano, but that branch sometimes updates and breaks Windows installs of Theano when using it. It allows to use GPU for computation, and nicely fits for machine learning calculation, which is perhaps because Theano is primarily developed by a machine learning group at the University of Montreal. *note: TensorFlow is also supported (as an alternative to Theano), but we stick with Theano to keep it simple. Deep learning is great! But it also has limitations. Want to install TENSORFLOW for KERAS in Python. The fastest convolutions in Theano with meta-optimization December 09, 2014 Guest post: Jan Schlüter from the OFAI , a fellow MIR researcher I have met at several conferences, recently added a feature to Theano that fits so well with my previous two posts on fast convolutions that we decided to include his writeup on my blog. For example, Google's cloud ML platform lets you upload TensorFlow models and run them in the cloud, but it doesn't work with Theano models. 1 in 30 minutes or less, depending on the speed of your internet connection. No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. Hence, a separate install for a different Python interpreter is what a user does. Mar 13, 2017 · How to install theano with python3. 6? Ask Question If you do not have administrator access to your machine, you can install Theano locally (to ~/. Installing theano is annoying. 0 is embed component of your system, y ou can try run “SFC /scannow” to repair the. pip install –upgrade keras. To update your current installation see Updating Theano. Although I'm running Ubuntu 15, this guide should also work on 14. The goal of this post is to serve as a concise and updated tutorial on how to get Theano working on Windows 10 using the. Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. Has various application, but most popular is deep learning. Building and Testing Theano. In this blog post, we will setup the environment for Deep Learning in Windows 10. Preview is available if you want the latest, not fully tested and supported, 1. The goal of this post is to serve as a concise and updated tutorial on how to get Theano working on Windows 10 using the. Upgrade to bleeding edge version solved issue with Theano and Anaconda I recently switched to using the python that comes with Anaconda (sidebar: is an Anaconda a kind of python? I would google it except, for the first time, I have the problem where googling search terms gets me the technical usage instead of the layperson one). These two have been having "who is faster" competition going for a few years now. First we define a variable with the likelihood that a neuron will be dropped (randomly set to 0): dropout = theano. Any one of them is enough:. Then run the project again, and it should work same way as under Python 3. Sometimes they want versions of things that clash with other frameworks. 5 install Keras==2. Is the leading open data science platform and is the recommended tool for use with Theano. This is a guide on how to run Keras (Theano powered neural network Python library) on CUDA with an NVIDIA Optimus laptop, with Fedora 24 and Bumblebee. The only usable solution I've found was using Pybrain. It wraps Theano and TensorFlow (it benefits from the advantages of both) - Use luarocks to install required packages. Without GPU support, so even if you. But keep in mind that the models you create may break (or fail to run), because as per the docs >; While it is fully our intention to support OpenCL, as of May 2014 this support i. 08/11/2019; 4 minutes to read +10; In this article. Installing OpenBLAS for Theano on Windows Once more, this proved to be quite difficult to do on Windows, so I'll explain how I finally got it to work. Download and install the Theano Old Style free font family by Alexey Kryukov as well as test-drive and see a complete character set. Lack of direct internet to Super Computer makes pip and easy_install procedures difficult. theano is a great library to get started with that provides the tools you need to build and train a simple neural network in python. ai refinements. This is going to be a tutorial on how to install tensorflow 1. In this blog post, we will setup the environment for Deep Learning in Windows 10. run conda install mingw libpython. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Installation¶. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features: tight integration with NumPy: a similar interface to NumPy’s. Mar 6, 2016. msi,不嫌麻烦你就去试,正确方式:cmd输入:pip install theano (pip用法看这里:pip 安装使用详解) 装完之后在ipython中输入以下两行代码测试一下: import theano. 04 so I could run deep learning experiments. This will provide you with a default installation of TensorFlow suitable for use with the tensorflow R package. Though Theano is considered effectively dead with the team announcing in September 2017 that they would cease all its major development after the release of 1. Download the latest version of Theano and extract somewhere. Being able to go from idea to result with the least possible delay is key to doing good research. PYTHON -----If you do not have Theano or Tensorflow, then in your Anaconda promt, type: conda install theano # to install Theano and pip install keras # to install keras. The choice matters more when you want to use other. 9 on Windows 8. The performance guide for Theano’s scan operator suggests minimizing the usage of the scan. Theano and Keras. It is built on top of NumPy. Setup NVIDIA GPU Toolkit. *note: TensorFlow is also supported (as an alternative to Theano), but we stick with Theano to keep it simple. 3 Steps to setup theano on windows 1. The choice matters more when you want to use other. The performance guide for Theano’s scan operator suggests minimizing the usage of the scan. How to install and setup Keras on Anaconda Python on Ubuntu 16. The "anaconda" after the environment name includes all the core packages: conda create -n env_name35 anaconda python=3. The NVIDIA CUDA® Deep Neural Network library (cuDNN) is a GPU-accelerated library of primitives for deep neural networks. This the second part of the Recurrent Neural Network Tutorial. Theano, Keras, and Lasagne Installing on Windows. ai refinements. When you want to install Theano on your machine, perhaps Anaconda is a good choice. Before installing anything, let us first update the information about the packages stored on the computer and upgrade the already installed packages to their latest versions. If planning to use CPU only, ignore the CUDA installs and set the THEANO_FLAGS environment variable to that of THEANO_FLAGS_CPU; NOTE Do not install Keras 2. 7 or WinPython 3. If you have MKL 2017 install and are not in a conda environment you can set the Theano flag blas. 7, Ubuntu 16. His key id EA5BBD71 was used to sign all other Python 2. Because of this, Theano has a high learning curve, so I will be using two neural network libraries built on top of Theano that have a more gentle learning curve. Installation of Theano. Theano, Keras and Lasagne are all Python libraries, so the first thing we'll need to do is get a Python installation on. The choice matters more when you want to use other. Theano can be installed using the python package installer pip as follows: $ sudo pip install Theano. Two major problems I have found: Numpy 1. 已经尝试了tensorflow和caffe,基本上已经上手跑demo和写基本小程序 接下来应该尝试哪个框架呢? 最近pytorch挺火的,之前试过torch,但是lua语言让人很讨厌 caffe2最近也出来了,好像也不错 theano和tensorflow据说可以做keras的后台 有木有大神给点建议,甩点链接什么的 追问一下,tensorflow 1. The single exception is Theano: Due to its tight coupling to Theano, you will have to install a recent version of Theano (usually more recent than the latest official release!) fitting the version of Lasagne you choose to install. How to install and setup Keras on Anaconda Python on Ubuntu 16. It is built on top of NumPy. cuDNN is part of the NVIDIA Deep Learning SDK. zip解压到目录底下或者theano_installer_latest. 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. Being able to go from idea to result with the least possible delay is key to doing good research. With new frameworks coming up every month, TensorFlow and Theano have been there for a while and have gained a good amount of popularity as well. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. CentOS 7 is now shipping for 64 bit platforms, and currently there is no 32 bit ISO image. Anaconda installed. Installing Keras with Theano on Windows for Practical Deep Learning For Coders, Part 1 Posted July 31, 2017 September 22, 2017 ParallelVision The below instructions should have you set up with both Keras 1. [update] If you would like to skip the instructions and just install from an AMI, search the community for ami-b141a2f5 (Theano - CUDA 7) in the N. Compile CUDA sample and test deviceQuery. It also shows how to check your theano is correctly installed. To use GPUs, you must then tell Theano where the CUDA root folder is, and there are three ways to do it. Theano is available from the default. Prerequisites. *FREE* shipping on qualifying offers. Tensors is a generalization of scalars, vectors, matrices, and so on. It wraps Theano and TensorFlow (it benefits from the advantages of both) - Use luarocks to install required packages. Installing pymc3 on Windows machines PyMC3 is a python package for estimating statistical models in python. My goal was to set up my new Lenovo y50 so that the integrated Intel GPU is used for all interactive UI tasks, and the NVIDIA GPU only for computation tasks. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently, featuring tight integration with NumPy, transparent use of a GPU, efficient symbolic differentiation, speed and stability optimizations and dynamic C code generation. The objective of this post is guide you use Keras with CUDA on your Windows 10 PC. Step 1: Download The ISO Image. She was the wife of Antenor and by him, mother of many sons possibly including, Archelochus, Acamas, Glaucus, Helicaon, Laodocus, Polybus, Agenor, Iphidamas, Coon, Laodamas, Demoleon and Eurymachus; and a daughter Crino. Installing pymc3 on Windows machines PyMC3 is a python package for estimating statistical models in python. Theano is a very famous Deep Learning Library in Python. Anaconda is a package manager for python that simplifies setting up python environments and installing dependencies. 别用什么theano. Highlights (since 0. There are behemoth bugs in stable version 0. OK, I Understand. Lasagne is a lightweight library to build and train neural networks in Theano. Be warned that if you set this flag and don't set the appropriate environment or make sure you have the right version you *will* get wrong results. I followed your article and faced an issue when implementing a simple experiment. In order to use Theano, you will need to install the dependencies and install Theano itself. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It allows to use GPU for computation, and nicely fits for machine learning calculation, which is perhaps because Theano is primarily developed by a machine learning group at the University of Montreal. Theano dev zip downloaded from Theano’s mater branch in Github( don’t use pip install theano. 4-venv Now start up an new Python 3 virtualenv, call it 'env1'. Use Keras if you need a deep learning library that:. It is a full-featured (see what's inside WinPython 2. 5 install Theano==0. This allows us to keep 3. Other than playing the latest games with ultra-high settings to enjoy your new investment, we should pause to realize that we are actually having a supercomputer able to do some serious computation. A few words about theano : Theano is a Python library with a NumPy-like syntax, that lets you define, optimize, and evaluate mathematical expressions. Theano, Keras, and Lasagne Installing on Windows. In this chapter, we will learn about the environment set up for Python Deep Learning. 12 GPU version. Preview is available if you want the latest, not fully tested and supported, 1. OK, I Understand. 1 along with the GPU version of tensorflow 1. We will also be installing CUDA 10 and cuDNN 7. My instructions for installing Theano 0. run "pip install theano". Ubuntu is highly recommended for beginners since it has tons of troubleshooting articles on the web. 7 environment. Mar 13, 2017 · How to install theano with python3. Keras is a minimalist, highly modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano. It seems that Theano model is not cached and is recompiled at every run of experiment — so it takes a lot of time, obviously. To install Keras, run the following command in a terminal: pip3. This should be suitable for many users. conda install theano pygpu. run sudo pip install Theano. WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Being able to go from idea to result with the least possible delay is key to doing good research. 2 seems to fail on nose test due to some out of dated package test (numarray, numeric) Theano will complain about pyparser. I gave a short presentation about Google Tensorflow previously, with install instructions. At this point it is easy to install Theano and Keras, just you pip (or conda and pip)! conda install mingw libpython pip install theano pip install keras After installing the python libraries you need to tell Theano to use the GPU instead of the CPU. 0 and Theano Setup in Ubuntu linux for Deep learning. 1 along with the GPU version of tensorflow 1. 9 on Windows 8. In this tutorial, we shall learn to install Theano Python Library in Ubuntu. Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Python ecosystem tools for Deep Learning such as Keras, Theano and TensorFlow are easy to install and start development. Install Git on Mac OS X.