When it comes to deep learning frameworks, two names dominate every conversation: TensorFlow and PyTorch. Developed by Google Brain and Meta AI respectively, these two frameworks have each carved a strong niche in the AI ecosystem — and choosing between them can meaningfully shape your development experience, deployment strategy, and career trajectory. In this post, we break down TensorFlow and PyTorch across every dimension that matters — from ease of use and performance to ecosystem maturity, deployment tooling, and industry adoption — so you can make a confident, informed choice. 💡 Quick Context: Both frameworks are open source, Python-based, and GPU-accelerated. Both support all…