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Installation — Dive into Deep Learning 1.0.0-beta0 documentation

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In order to get up and running, we will need an environment for running Python, the Jupyter Notebook, the relevant libraries, and the code needed to run the book itself. Your simplest option is to install Miniconda. Note that the Python 3.x version is required. You can skip the following steps if your machine already has conda installed. Visit the Miniconda website and determine the appropriate version for your system based on your Python 3.x version and machine architecture. Suppose that your Python version is 3.9 (our tested version). If you are using macOS, you would download the bash script whose name contains the strings “MacOSX”, navigate to the download location, and execute the installation as follows (taking Intel Macs as an example): A Linux user would download the file whose name contains the strings “Linux” and execute the following at the download location: Next, initialize the shell so we can run conda directly. Then close and reopen your current shell. You should be able

Installation — Dive into Deep Learning 1.0.3 documentation Installation ¶ In order to get up and running, we will need an environment for running Python, the Jupyter Notebook, the relevant libraries, and the code needed to run the book itself. Installing Miniconda ¶ Your simplest option is to install Miniconda . Note that the Python 3.x version is required. You can skip the following steps if your machine already has conda installed. Visit the Miniconda website and determine the appropriate version for your system based on your Python 3.x version and machine architecture. Suppose that yo

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