Part 2 & Alumni


Study Groups 2 Many fast.ai students have found that they stick to their study plans and understand the material better if they study together with a group. Such a group can be virtual (hangouts/skype/etc) or in person. It could be folks at your workplace, a meetup of people in your local community, or just other students from the forum that are in your approximate time zone. We’ve seen all of these models work well.

About the Part 2 & Alumni category ( 2 ) [Part 2 & Alumni] (30)
Loss increasing for every iteration [Part 2 & Alumni] (1)
Error Running Trained Binary Classifier Structured Model [Part 2 & Alumni] (1)
How to generate predictions from the new Language Model (using text.py)? [Part 2 & Alumni] (12)
Can a research mathematician not understand their own dissertation and the implications for learning [Part 2 & Alumni] (7)
Part 2 Lesson 8 wiki ( 2 3 4 5 6 7 8 9 10 11 12 ) [Part 2 & Alumni] (235)
Cifar10 to 94% speedup 30% [Part 2 & Alumni] (1)
What are some strategies to use seq2seq translation with 22m sentence pairs instead of 50k? [Part 2 & Alumni] (3)
ULMFiT - Corpus [Part 2 & Alumni] (3)
Multilabel Classification with ULMFiT [Part 2 & Alumni] (16)
How to choose the parameters for cyclic learning rates [Part 2 & Alumni] (1)
Part 2 Lesson 9 wiki ( 12 13 14 15 16 17 18 19 20 21 22 23 ) [Part 2 & Alumni] (446)
Imagenet training project discussion [Part 2 & Alumni] (11)
ULMFit for sequence tagging [Part 2 & Alumni] (5)
Learner.predict_array on a language model [Part 2 & Alumni] (5)
Predict Problem of ULMFit with PyTorch 0.4 [Part 2 & Alumni] (6)
Ask Jeremy anything ( 2 3 4 ) [Part 2 & Alumni] (76)
1000s of categories [Part 2 & Alumni] (3)
Data/AI events in SF Bay Area ( 2 ) [Part 2 & Alumni] (21)
Dynamic Unet ( 2 ) [Part 2 & Alumni] (29)
Learner: predict_with_targs vs. predict - what's the difference? [Part 2 & Alumni] (10)
Part 2 Lesson 13 Wiki ( 2 3 4 5 6 7 8 ) [Part 2 & Alumni] (153)
Part 2 Lesson 10 wiki ( 12 13 14 15 16 17 18 19 20 21 22 23 ) [Part 2 & Alumni] (459)
Pretrain_lm error [Part 2 & Alumni] (2)
Lesson 10 IMDB dataset [Part 2 & Alumni] (1)
[Paper discuss] A disciplined approach to neural network hyper parameters by Leslie Smith ( 2 ) [Part 2 & Alumni] (22)
How to get the language model predictions and probabilities [Part 2 & Alumni] (3)
Getting vectors from a language model [Part 2 & Alumni] (1)
Why does PoolingLinearClassifier do dropout/BN/relu on the final layer? [Part 2 & Alumni] (2)
ImageData.get_ds and test dataset [Part 2 & Alumni] (17)