Both PyTorch and TensorFlow have been used in industry for a long time. These two frameworks are the best in the features they provide for deep learning. So what should you learn? In this article, I’ll walk you through what you should choose between PyTorch or TensorFlow for Deep Learning.
Introduction to PyTorch and TensorFlow
TensorFlow was released by the Google Developers in 2015 and PyTorch was released in 2016 by FaceBook. Both these frameworks are from a very well known team of developers and there is not much difference between the features that they offer for deep learning.
When TensorFlow was launched, it became the first choice for machine learning experts and many organizations to work on machine learning and deep learning applications. But after the release of PyTorch, it quickly gained popularity because PyTorch is easy to use compared to TF.
TensorFlow is written in C++ and CUDA, but it is very popular among the Python community because it provides API for Python and other programming languages such as C++, R, Julia, Go, and Java. While PyTorch is written in Python and also provides APIs for languages like C++ and Java.
PyTorch or TensorFlow What Should You Choose for Deep Learning?
PyTorch and TensorFlow both have equivalent functionality today. TensorFlow is a bit complex to learn compared to PyTorch, but TensorFlow was the first choice for machine learning experts a few years ago because only models created using TensorFlow could be deployed in production. But now models created with PyTorch can also be deployed in production.
PyTorch is easy to learn and use compared to TF, but I will still recommend that you learn both these frameworks. As technology evolves, you have no choice to choose between the best frameworks in the industry. But if you are familiar with the early released technologies like these two frameworks, you can easily learn about the upcoming technologies.
So as you can only choose what you need to learn first, I will recommend that you learn TensorFlow first, then PyTorch, as learning a complex framework will help you learn a simple framework easily.
PyTorch is easy to learn and use compared to TF, but I will still recommend that you learn both these frameworks as the technology continues to evolve so you never know what may help you in what kind of problems. You can only choose what you need to learn first and I will recommend that you learn TensorFlow first, then PyTorch. I hope you liked this article on which deep learning framework you should choose. Feel free to ask your valuable questions in the comments section below.