Spread this useful information with your friends if you liked.
- PyTorch:
- PyTorch is an open-source machine learning library developed by Facebook that provides support for building deep neural networks.
- PyTorch is built on top of the Torch library and uses dynamic computation graphs, which allows for more flexibility and easier debugging compared to static computation graphs used in other frameworks such as TensorFlow.
- PyTorch provides a wide range of modules and functions for building neural networks, including modules for layers, activations, loss functions, and optimization algorithms.
- Jupyter:
- Jupyter is an open-source web application that allows users to create and share interactive documents containing live code, equations, visualizations, and narrative text.
- Jupyter supports many programming languages, including Python, R, and Julia, and provides a powerful environment for data analysis and machine learning.
- Jupyter notebooks, which are the most common type of Jupyter document, allow users to write code and text in a single document, making it easy to document and share machine learning workflows.
- Colab:
- Colab, short for Google Colaboratory, is a free cloud-based platform that provides users with access to a Jupyter notebook environment and a GPU-powered runtime.
- Colab supports many popular machine learning frameworks, including TensorFlow and PyTorch, and allows users to run code and experiments on powerful hardware without the need for expensive hardware setups.
- Colab also allows users to collaborate on notebooks in real-time, making it easy to share code and ideas with colleagues.
Spread this useful information with your friends if you liked.
