Choosing between TensorFlow and PyTorch? It depends on your goals: - 🔍 **PyTorch**: Great for research, dynamic graphing - ⚙️ **TensorFlow**: Excellent for production and deployment PyTorch offers a Pythonic, intuitive interface. TensorFlow excels with TF Lite, TF Serving, and TPU support. 👉 For fast prototyping, choose PyTorch. For scalable deployment, go with TensorFlow.