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builtin.com
PyTorch vs. TensorFlow for Deep Learning | Built In
The main difference between PyTorch vs. TensorFlow is that PyTorch uses dynamic computational graphs, while TensorFlow uses static computational graphs. Here's what else to know about the two deep learning frameworks.
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PyTorch vs TensorFlow: What’s the difference and which one should you learn? If you’re diving into machine learning or building your first neural network, you’ve probably seen these names come up everywhere! The TL;DR is: 💡 PyTorch = intuitive, dynamic, and easier to learn 🚀 TensorFlow = scalable, versatile, and great for deployment But truthfully, you can’t go wrong with either! And we have beginner-friendly courses to help you get started with both. | Codecademy
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