Keras Vs Pytorch

Keras is an open-source neural network library written in Python that is designed to simplify the process of building deep learning models. It provides a high-level API for constructing and training neural networks, making it accessible for beginners while also offering flexibility for more advanced users. Keras can run on top of TensorFlow, Microsoft Cognitive Toolkit, or Theano, allowing developers to leverage the capabilities of these powerful backends while maintaining an easy-to-use interface for model design, training, and evaluation.

PyTorch is an open-source machine learning library developed by Facebook's AI Research lab that provides a robust platform for deep learning applications. It is known for its dynamic computation graph, which allows users to modify the network architecture on-the-fly, making it particularly suited for research and experimentation. With its intuitive design and strong support for GPU acceleration, PyTorch has gained popularity among researchers and developers for tasks involving computer vision, natural language processing, and signal processing.