What are the best resources to learn TensorFlow and PyTorch?

What are the best resources to learn TensorFlow and PyTorch?

There are many great resources! For TensorFlow, I recommend the official TensorFlow documentation and the "Deep Learning with Python" book by François Chollet. For PyTorch, the official PyTorch tutorials and the book "Programming PyTorch for Deep Learning" by Ian Pointer are excellent.

Are there any free online courses available?

Yes! You can check out the "Deep Learning Specialization" on Coursera, which covers both TensorFlow and PyTorch. Additionally, platforms like edX and Udacity offer free courses on these frameworks.

What about YouTube channels or video tutorials?

YouTube has some fantastic channels! I recommend "Sentdex" for practical Python tutorials, and "Two Minute Papers" for quick insights into the latest research. Also, the official TensorFlow and PyTorch channels have great content.

Can you suggest any books for beginners?

Absolutely! For beginners, "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron is a great start. For PyTorch, "Deep Learning with PyTorch" by Eli Stevens is highly recommended.

How do I choose between TensorFlow and PyTorch?

It depends on your needs! TensorFlow is great for production and deployment, while PyTorch is often preferred for research and ease of use. Consider your project requirements and personal preference.