Part 2 (2019)


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2019 Part 2 Lessons, Links and Updates

This thread will be used to post updates about the course that are likely to be of general interested. It is a closed thread, which means that only moderators will be adding to it - so we suggest you click “Watch” at the…

14 June 28, 2019
Imagenette/ Imagewoof Leaderboards 36 February 24, 2020
Receptive field for stacked convolutions 5 February 24, 2020
Object detection 14 February 21, 2020
No such file or directory: 'models/bestmodel.pth' 4 February 20, 2020
How to apply rotate on stand alone Tensor 1 February 20, 2020
Simplified RunningBatchNorm in Lesson 11 3 February 19, 2020
Preprocessing a whole image dataset 2 February 18, 2020
ProcessedItemList mention in 08_data_block.ipynb 1 February 18, 2020
Is Label Smoothing off by eps/N? 16 February 17, 2020
`*args` in compose function code in 08_data block.ipynb 6 February 17, 2020
Lesson 9 notes 4 February 16, 2020
Lesson 9: understanding callbacks and runner class 2 February 16, 2020
Understanding linear layer gradient 2 February 15, 2020
Running batch norm tweaks 26 February 15, 2020
NLP Sentences Siamese Network 6 February 14, 2020
The "colorful" dimension 11 February 12, 2020
Software Engineering material and discussion for starters 14 February 11, 2020
Lesson 8 (2019) discussion & wiki 586 February 9, 2020
The Twin Peaks (Chart) 9 February 8, 2020
Share your work here (Part 2) 152 February 7, 2020
Basic metrics: Is F1 score the same as Fbeta in fastai? 17 February 7, 2020
Things Jeremy says to do (Part 2) 17 February 3, 2020
Deep Learning for Genomics/Bioinformatics/Comp Bio 83 February 2, 2020
Understanding gradient calculation 20 January 30, 2020
MULTIFiT training - log call backs to disk 2 January 30, 2020
Truncating and moving models from one learner to another learner? 5 January 29, 2020
My first gold medal 12 October 12, 2019
Good readings 2019 126 January 29, 2020
Lesson 12 (2019) discussion and wiki 293 January 27, 2020