Setting up Jupyter Notebook
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===Create a new Conda environment with tensorflow=== | ===Create a new Conda environment with tensorflow=== | ||
| − | To install the current release of CPU-only TensorFlow | + | To install the current release of CPU-only TensorFlow we create a new environment with name ''tf'' and install the package tensorflow. The Conda environment is directory which contains a specific installation of Python packages. That means for example, yoe can have different environemnts with different package compilations oder different version of packages. |
* Open the Anaconda Command Prompt from windows start menu, type: | * Open the Anaconda Command Prompt from windows start menu, type: | ||
<source lang="dos"> | <source lang="dos"> | ||
| − | conda create - | + | conda create --name tf tensorflow |
| + | </source> | ||
| + | * To activate and use the new environment, type: | ||
| + | <source lang="dos"> | ||
conda activate tf | conda activate tf | ||
</source> | </source> | ||
===Install Jupyter=== | ===Install Jupyter=== | ||
| + | [[https://jupyter.org/ Jupyter]] Notebook is an easy-to-use, interactive, web-based editor for writting and executing Python code. | ||
* In the Anaconda Prompt, type | * In the Anaconda Prompt, type | ||
<source lang="dos">conda install jupyter</source> | <source lang="dos">conda install jupyter</source> | ||
| Line 36: | Line 40: | ||
* In the Anaconda Command Prompt, type (hit ‘Enter’ after each row) | * In the Anaconda Command Prompt, type (hit ‘Enter’ after each row) | ||
<source lang="python"> | <source lang="python"> | ||
| − | + | conda install numpy | |
| − | + | conda install -c conda-forge matplotlib | |
| − | + | conda install -c conda-forge pandas | |
| − | + | conda install -c anaconda pillow | |
</source> | </source> | ||
* Press {{button|text=Enter}} after each row | * Press {{button|text=Enter}} after each row | ||
[[Category: Deep Learning in Forestry]] | [[Category: Deep Learning in Forestry]] | ||
Latest revision as of 13:19, 15 October 2021
Contents |
[edit] Installation Guide for Windows Miniconda
Go to the Miniconda Download page [Miniconda Download]. Download the appropriate (32- or 64-Bit) Python 3.7 version of Miniconda.
- Double click on the .exe file and click Install.
- Read and agree to the licensing terms.
- Select if you want to install for ‘Just Me’ or ‘All Users’. If you are installing for ‘All Users’, you must have Administrator privileges.
- You will be prompted to select the installation location. By default, Anaconda should try to install in your home directory. We recommend accepting this default. Click Install.
Anaconda PATH environment variable
- You will be asked if you want to add Anaconda to your PATH environment variable. Do not add Anaconda to the PATH because it can interfere with other software.
- You will be asked if you want Anaconda to be your default version of Python. We recommend ‘Yes’.
- Click Install.
[edit] Create a new Conda environment with tensorflow
To install the current release of CPU-only TensorFlow we create a new environment with name tf and install the package tensorflow. The Conda environment is directory which contains a specific installation of Python packages. That means for example, yoe can have different environemnts with different package compilations oder different version of packages.
- Open the Anaconda Command Prompt from windows start menu, type:
conda create --name tf tensorflow
- To activate and use the new environment, type:
conda activate tf
[edit] Install Jupyter
[Jupyter] Notebook is an easy-to-use, interactive, web-based editor for writting and executing Python code.
- In the Anaconda Prompt, type
conda install jupyter
Once the installation is complete, you can run a jupyter notebook by typing:
jupyter notebook
A Jupyter Notebook interface will appear in your default browser.
[edit] Install required packages
Now we install a few packages we need for the course.
- In the Anaconda Command Prompt, type (hit ‘Enter’ after each row)
conda install numpy conda install -c conda-forge matplotlib conda install -c conda-forge pandas conda install -c anaconda pillow
- Press Enter after each row
