Which framework is better for deep learning?

I'm trying to decide between TensorFlow and PyTorch for my deep learning project. Which one is better?

Both TensorFlow and PyTorch have their strengths. TensorFlow is great for production and scalability, while PyTorch is more user-friendly and flexible for research.

What about the community support and resources available for each?

TensorFlow has a larger community and more resources, including tutorials and documentation. PyTorch's community is growing rapidly, especially in academia.

Are there specific types of projects where one framework is preferred over the other?

Yes, TensorFlow is often preferred for large-scale production models, while PyTorch is favored for research and prototyping due to its dynamic computation graph.

Can you give me examples of companies using each framework?

Sure! Google uses TensorFlow for many of its products, while Facebook and Uber have adopted PyTorch for their machine learning projects.