Keras provides a high-level neural network API that integrates well with Jupyter notebooks for rapid prototyping of deep learning models with immediate feedback and visualization capabilities.
TensorFlow code is commonly developed and debugged in Jupyter notebooks, taking advantage of the interactive environment for iterative model building, training visualization, and experiment tracking.
Jupyter provides the interactive environment where PyTorch code is written, tested, and debugged. The notebook format allows for iterative model development with immediate visualization of tensors and model outputs.