PyTorch vs TensorFlow for Your Python Deep Learning Project

PyTorch vs TensorFlow: What’s the difference? Both are open-source Python libraries that use graphs to perform numerical computations on data in deep learning applications. Both are used extensively in academic research and commercial code. Both are extended by a variety of APIs, cloud computing platforms, and model repositories.

If they’re so similar, then how do you decide which one is best for your project?

You’ll start by taking a close look at both platforms, beginning with the slightly older TensorFlow. Then, you’ll explore PyTorch and some considerations to help you determine which choice is best for your project. Let’s get started!

What Is TensorFlow?

TensorFlow was developed by Google and released as open-source in 2015. It grew out of Google’s homegrown machine




To finish reading, please visit source site