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This is great news! Here has been my experience using Fast.ai : I had been training a deep learning network using Keras with Tensorflow, for diagnosing medical

This is great news! Here has been my experience using Fast.ai : I had been training a deep learning network using Keras with Tensorflow, for diagnosing medical images - and it took me several months of hard work - tweaking parameters, training and testing to get acceptable levels of accuracy for our models. And then last month, I switched to Fast.ai (their pre-release version) and I was blown away - my models trained faster, and I matched and finally exceeded accuracy levels acheived with my earlier models. And I accomplished what had taken several months in Keras, in just a few days! And the biggest reasons for it were in my view, fast.ai's learning rate finder, the differential learning rates, and Test Time augmentation - all which are advanced features built into fast.ai. And the other great thing is that fast.ai uses the best defaults automatically, and it trains much, much faster than Keras / TF for some reason. So I can't wait to try the new release out. I think Fast.ai has set a new bar for deep learning frameworks in terms of speed and ease of use. Thank you for all your great work!

infinitone 8y ago
Do you know if you can do object detection on images right out of the box? Or is it just classification?
- pitchups 8y ago
  I am using it for classification right now - but pretty sure you should be able to do object detection quite easily as well.
  - jph00 8y ago
    It supports segmentation right now, but object detection won't be supported "out of the box" until 1.1 (in a month or two). You can certainly train a YOLO or SSD pytorch model with fastai, however.
    - lelima 8y ago
      Hello Jeremy, One question, there is any best practice to transform video into [n] frames to then use model.predict(n) to make a "live classification / object detection"? Kind regards from Dublin!
hcrisp 8y ago
There is a learning rate finder for Keras: https://github.com/surmenok/keras_lr_finder https://github.com/surmenok/keras_lr_finder
fredguth 8y ago
differential learning rates are now called discriminative learning rates.

infinitone 8y ago

Do you know if you can do object detection on images right out of the box? Or is it just classification?

pitchups 8y ago
I am using it for classification right now - but pretty sure you should be able to do object detection quite easily as well.
- jph00 8y ago
  It supports segmentation right now, but object detection won't be supported "out of the box" until 1.1 (in a month or two). You can certainly train a YOLO or SSD pytorch model with fastai, however.
  - lelima 8y ago
    Hello Jeremy, One question, there is any best practice to transform video into [n] frames to then use model.predict(n) to make a "live classification / object detection"? Kind regards from Dublin!

hcrisp 8y ago

There is a learning rate finder for Keras: https://github.com/surmenok/keras_lr_finder https://github.com/surmenok/keras_lr_finder

fredguth 8y ago

differential learning rates are now called discriminative learning rates.