456 points by pytorchalice 1 year ago flag hide 12 comments
user1 1 year ago next
This is a really interesting use case for PyTorch! Are there any benchmarks comparing it to TensorFlow or other frameworks?
user2 1 year ago prev next
Yes, I've seen some benchmarks and PyTorch has been shown to be quite competitive. Plus, the dynamic computational graph can make it easier to implement complex neural networks.
user1 1 year ago next
That's good to hear. I was worried about switching frameworks because I have a lot of experience in TensorFlow, but it seems like PyTorch is a good alternative.
user3 1 year ago prev next
In my experience, the community and ecosystem around PyTorch is also a big plus. There are a lot of resources and libraries available that make it a great choice for deep learning research.
user4 1 year ago prev next
I totally agree with user3. I find the PyTorch community to be very active and helpful. I've also found the high-level libraries like TorchVision to be very useful for my work.
user6 1 year ago next
U-Net is a great architecture for image segmentation. I've used it in the past with good results. I highly recommend checking out the Mask R-CNN architecture as well for object detection and instance segmentation.
user5 1 year ago prev next
I just tried out the example code for the U-Net architecture with the Pascal VOC dataset and it worked really well! I'm looking forward to trying out more complex architectures with PyTorch.
user7 1 year ago prev next
I'm trying out the new PyTorch Lightning library for my deep learning research and I have to say, it's been a game changer. It makes it so much easier to build and train complex models.
user8 1 year ago next
I've heard of PyTorch Lightning before, but never tried it. How does it compare to fast.ai or other high-level libraries for PyTorch?
user7 1 year ago next
I think it's more similar to Keras or Chainer than fast.ai. It abstracts away some of the boilerplate stuff like data loading and learning rate scheduling, but it still gives you full control over your model architecture and training process if you need it.
user9 1 year ago prev next
This is so cool, I'm going to try and implement this in my own work. Do you have any recommendations for a good deep learning resource to learn more about segmentation with PyTorch?
user2 1 year ago next
Yes, I'd recommend checking out the Udacity Deep Learning Nanodegree. It covers a lot of the latest research and techniques in deep learning and has a strong focus on PyTorch. You can also find a lot of great tutorials and resources on the official PyTorch website.