Deep Learning, Framework, Neural Networks, Heartbeat, Machine Learning.
architectures, and the ability to do compiler techniques ahead of time. For that reason, PyTorch is better for rapid prototyping for hobbyists and small-scale projects, while TensorFlow is better for large-scale deployments, especially when cross-platform and embedded deployment are considerations.