To work with the code examples in this course, we need to install the Python 3 programming language, the PyCharm development environment, and several software libraries, including TensorFlow. This video will cover installation on Mac OS. If you are using Windows, watch the separate video covering Windows installation instead. The method we'll use to install TensorFlow will only install the. Otherwise, for ios. rule support, you must have Xcode 6.1 or later with iOS SDK 8.1 installed on your system. Download Xcode from the App Store or the Apple Developer site. Once Xcode is installed, accept the license agreement for all users with the following command. Docker install: Run TensorFlow in a Docker container isolated from all other programs on your machine. If you are familiar with Pip, Virtualenv, or Docker, please feel free to adapt the instructions to your particular needs. Some people have gotten eGPU’s to work with Mac and Tensorflow, and have written helpful posts to share what seems to be a bit of a painful but doable process. There seems to be a way forward.
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Install TensorFlow 2
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TensorFlow is tested and supported on the following 64-bit systems:
Google Colab: An easy way to learn and use TensorFlow
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. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.
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Web developers
TensorFlow.js is a WebGL accelerated, JavaScript library to train and deploy ML models in the browser and for Node.js.
Mobile developers
TensorFlow Lite is a lightweight solution for mobile and embedded devices.
1. Boot into Ubuntu 20.04 or Ubuntu 18.042. Download Anaconda3-2020.02-Linux-x86_64.sh from https://repo.anaconda.com/archive/ 3. Start installation in Terminal
4. Start Terminal App again 5. Update Anaconda, create virtual environment and install packages
6. Run the examples in how-to-install-tensorflow-with-gpu or run the TensorFlow2 tutorial conda activate tf-gpu 7. It is not necessary to have the required GPU hardware in order to install the gpu package, For machine without the required GPU, just first install tensorflow_gpu package and then download and install the tensorflow wheels file here pip install --upgrade ~/Downloads/tensorflow-2.1.0-cp37-cp37m-linux_x86_64.whl ![]() Install tensorflow-mkl for Mac OS XThe installation steps are very similar, except How To Download Tensorflow Mac OsDownload and install Anaconda3-2020.02-MacOSX-x86_64.pkgcurl -OL https://repo.anaconda.com/archive/Anaconda3-2020.02-MacOSX-x86_64.pkg How To Download Tensorflow MacromediaAnd then follow step 4 to step 6 above. In step 5, additionally, install tensorflow-mkl from anaconda channel. tensorflow-mkl is optimized with Intel® MKL-DNN to use the following CPU instructions in performance critical operations: SSE4.1 SSE4.2 AVX AVX2 FMA (Specifically, Intel MKL-DNN is optimized for Intel® Xeon® processors and Intel® Xeon Phi™ processors). Package installation steps areHow To Download TensorflowHow To Download Tensorflow For Windows 10conda install tensorflow
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