Both PyTorch and TensorFlow are top deep learning frameworks that are extremely efficient at handling a variety of tasks. But there are subtle differences in their ability, working and the way they work and it is extremely important that you understand these differences that lie in between TensorFlow vs PyTorch.

On this blog, we will understand the difference between PyTorch and TensorFlow based on the following criteria:

PyTorch vs TensorFlow:

• Open Source
• Implementation
• Easier to Learn
• Computation Graphs
• Debugging
• Community Support
• Visualization Tools
• Data Parallelism
• Prototyping and Production

Check out the PyTorch vs TensorFlow video on our YouTube channel:

Since both PyTorch and TensorFlow are very popular, it is common to be at crossroads when deciding on which one to learn or which is more powerful. This TensorFlow vs PyTorch comparison will make it easier and quicker for you to grasp all of the differences between these frameworks. Read on.

#machine learning #tensorflow #pytorch