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How to install fchollet/deep-learning-with-python-notebooks. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
fchollet/deep-learning-with-python-notebooks Installation Guide
How to install fchollet/deep-learning-with-python-notebooks. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for fchollet/deep-learning-with-python-notebooks. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i fchollet/deep-learning-with-python-notebooksor
Install via npx
npx @hexmos/ipm i fchollet/deep-learning-with-python-notebooksPrerequisites
Python
languageVersion: >=3.6.0
Jupyter Notebook
environmentA web-based interactive computing environment for data analysis and visualization.
Colab (Google Colaboratory)
serviceA cloud-based platform for running Jupyter Notebooks, offering free GPU access.
Kaggle API Key
knowledgeAn API key is required to access Kaggle datasets. You can create one on the Kaggle website.
JAX (optional)
build_toolVersion: 0.17.0
TensorFlow (optional)
build_toolVersion: 2.8.0
PyTorch (optional)
build_toolVersion: 1.13.1
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Jupyter Notebook
jupyter notebookPost Installation Steps
- Start the server using `python app.py`.
- Run migrations with `python manage.py makemigrations && python manage.py migrate`