Theory
An open-source interactive computing environment allows users to create and share documents that contain live code, equations, visualizations, and explanatory text. It has become one of the most popular platforms across several data science, machine learning, and research communities.
PyTorch is the other commonly used deep learning framework used quite particularly for the construction and training of neural networks and tensor computations. Developed and maintained by Meta, it provides dynamic computation graphs and is thus easier to debug and change the model than TensorFlow, its common counterpart.
Thus, with the integration of the two, Jupyter Notebook and PyTorch, one gets a highly competent environment for deep learning and AI development that supports quick experimentation and iteration across various models.
PyTorch is the other commonly used deep learning framework used quite particularly for the construction and training of neural networks and tensor computations. Developed and maintained by Meta, it provides dynamic computation graphs and is thus easier to debug and change the model than TensorFlow, its common counterpart.
Thus, with the integration of the two, Jupyter Notebook and PyTorch, one gets a highly competent environment for deep learning and AI development that supports quick experimentation and iteration across various models.