Questions tagged [fastai]

Fastai is a deep learning library for Python. It is built on top of PyTorch, and provides high level API to various common deep learning applications and data types. For more information see: https://docs.fast.ai or https://github.com/fastai

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How to specify version for dependencies so that each one is compatible and stays within a size limit?

I am trying to deploy a web app to Heroku. The free tier is limited to 500 MB. I am using my resnet34 model as a .pkl file. I create model with it using the fastai ...
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Classification with a lot of the classes

I’m trying to make model which will classify text into about 500 different classes. I think that I have to customize architecture of the Pooling Classifier which looks now like this: ...
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Improve performance of my CNN model

I am working on an image classification problem. There are 876 images in the training and 600 in the test dataset. It is a multi class classification for plants. Since this is my first CNN problem, ...
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1answer
53 views

How to handle imbalanced NLP text data set e.g. some classes only have 2 records

I am working on a dataset with around 2000 records. Around 80% records have their the categorical labels. There are around 200 categories, some categories got more than 20 records; whereas others only ...
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2answers
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Fast AI Lesson 4 - MNIST. Confused about multiplying weights by pixels?

I’m on lesson 4 of the Fast AI "Deep Learning for Coders" course, and have been back through the same lesson a few times now but I don’t think I’m quite getting a few things. I want to have ...
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How imagenet mean and std derived?

To use pre-trained models it is a preferred practice to normalize the input images with imagenet standards. mean=[0.485, 0.456, 0.406] and ...