Part 2 & Alumni


How can I load a pretrained model on Kaggle using fastai? [Part 2 & Alumni] (13)
A quick-and-easy way to make ULMFiT work for multi-label problems ( 2 ) [Part 2 & Alumni] (21)
RSNA with fast ai error [Part 2 & Alumni] (4)
ULMfit implementation in Tensorflow? [Part 2 & Alumni] (8)
Part 2 Lesson 14 Wiki ( 2 3 4 5 ) [Part 2 & Alumni] (95)
How does MultiBatchRNN deal with variable length sequences? [Part 2 & Alumni] (1)
Part 2 Lesson 12 wiki ( 2 3 4 5 6 7 8 9 10 ) [Part 2 & Alumni] (199)
Fast.ai study group in Bangalore [Study Groups 2] (9)
Congratulations Team Radek! [Part 2 & Alumni] (10)
Fat validation loss plot lesson 10 [Part 2 & Alumni] (4)
Using use_clr_beta and new plotting tools ( 2 3 ) [Part 2 & Alumni] (41)
Combining text + other embeddings + structured [Part 2 & Alumni] (4)
Can't replicate ULMFit validation predictions ( 2 ) [Part 2 & Alumni] (25)
How to setup a fast.ai environment for a real-world, production application? [Part 2 & Alumni] (11)
ULMFiT: Understanding learn.predict output [Part 2 & Alumni] (10)
TTA for image segmentation [Part 2 & Alumni] (9)
Text multi-label classification - sigmoid results are bigger than 1 (occasionally) [Part 2 & Alumni] (2)
Lesson 11 cannot install fasttext in windows 10 need help [Part 2 & Alumni] (4)
How to generate predictions from the new Language Model (using text.py)? [Part 2 & Alumni] (16)
Wikipedia Bi-directional model [Part 2 & Alumni] (1)
Part 2 lesson 11 wiki ( 3 4 5 6 7 8 9 10 11 12 13 14 ) [Part 2 & Alumni] (265)
Conv_learner from DataFrame [Part 2 & Alumni] (1)
Using PyTorch 0.4 and resultant slowdown [Part 2 & Alumni] (1)
Automated testing and deep learning? [Part 2 & Alumni] (8)
Random Bounding Boxes During Inference Time [Part 2 & Alumni] (1)
Accuracy calculation problem [Part 2 & Alumni] (4)
How to get the pre-trained language model loss for an input text? [Part 2 & Alumni] (1)
Fast.ai predict_array() for NLP classification [Part 2 & Alumni] (20)
Planning to get rid of `precompute` in fastai v1. Comments welcome [Part 2 & Alumni] (12)
Tutorial: Deep Q-Learning [Part 2 & Alumni] (1)