(All the packages installed on base environment will now be present in the new environment).Ĭonda create -n your-env-name -clone base We are going to clone a new environment from it. We can create an environment containing TF2 directly since Anaconda is supporting Tensorflow 2.0.0Īnaconda ships with a root environment, this is named as base. Similar to pip, with Anaconda we have conda for creating virtual environments and installing packages.Īfter installed Anaconda - Open Anaconda prompt -Ģ. Download Anaconda - Follow this link to download Anaconda. Installing Anaconda is relatively straightforward.ġ. Let’s start installing and setting up TensorFlow 2.0… Python 3.6+ through AnacondaĪnaconda with Jupyter provides a simpler approach for installing Python and working on it. Note: If you’re new to TensorFlow don’t worry about TF1.x just start off with the TF2.0 check TensorFlow website to get yourself started. Keras is an extremely popular high-level API for building and training deep learning models. When you install TensorFlow Kears comes with it automatically. Simplifying the API by cleaning up deprecated APIs and reducing duplication.Robust model deployment in production on any platform.Easy model building with Keras and eager execution.TensorFlow 2.0 focus on simplicity and ease of use, featuring updates like: We will also set up the TensorFlow and implement MNIST classification with TF 2.0… Let’s get down to business. Here we will learn how to install TensorFlow and also make use of your already pre-installed packages by cloning them to your new TensorFlow environment. Anaconda makes it easy to install TensorFlow, enabling your data science, machine learning, and artificial intelligence workflows.īut, It’s frustrating to start installing all packages one-by-one after creating a new environment to install TensorFlow.
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