User: TensorFlow_vs_PyTorch
Subject: TensorFlow or PyTorch for deep learning?
Want to learn deep learning framework. Should I learn TensorFlow or PyTorch? I see job postings for both but not sure which one to invest time in. Which has better future prospects?

Reply by: MLresearcher_University
PyTorch has become dominant in research community because of its intuitive API and dynamic computation graph. TensorFlow 2.x with Keras has also improved a lot and is popular in industry. If you want to do research or understand deep learning deeply, go with PyTorch. If you want to deploy production models, both are fine. Honestly learn either one properly, switching between them is not difficult later.

Reply by: DeepLearning_Engineer
I work in industry and we use both. PyTorch for experimentation and research, TensorFlow for production deployment because TensorFlow Serving and TF Lite are more mature. But this gap is closing. My suggestion is start with PyTorch because its easier to learn, then pick up TensorFlow when needed. Core concepts are same across frameworks.

Reply by: AIengineer_Startup
Check what frameworks are used in your target job market or industry. In computer vision, PyTorch dominates. In mobile/edge deployment, TensorFlow Lite is still ahead. Both are excellent frameworks with strong ecosystem. Dont overthink this decision, just pick one and start learning. Practical experience matters more than framework choice.