Part 1 (2019)


Topic Replies Created
Lesson 2 - Creating your own dataset from Google Images 7 April 23, 2019
Share your work here ✅ 1336 October 23, 2018
Training with Fastai, Inference without Fastai 7 May 7, 2019
Setup on Salamander 40 October 12, 2018
Study group Polska 182 October 20, 2018
Regressing eyes to floats: RuntimeError: Expected object of scalar type Long but got scalar type Float for argument #2 'other' 3 May 23, 2019
Segmentation when Image Channels Are More Than 3 2 March 2, 2019
Image segmentation on new images (lesson 3, beginner) 14 March 17, 2019
Text extraction from images 5 May 20, 2019
How to explain all the techniques used during training for segmentation task? 2 May 8, 2019
Why it can be worth to balance tabular data in realworld cases 4 May 22, 2019
"size mismatch" in simple Mnist implementation 1 May 22, 2019
Lesson3-planet fit_one_cycle error end of training 2 May 15, 2019
Multilabel hierarchical image classification 1 May 22, 2019
Collaborative filtering Interesting Problem 3 March 1, 2019
Using the test dataset in learn.get_preds() without is_test=True 18 November 11, 2018
Can't find output file in committed kaggle kernel 6 May 21, 2019
Custom loss_func and get_preds with_loss=True 2 May 22, 2019
Suggestion for the future fast.ai lectures: model deployment? 6 May 21, 2019
Platform: Salamander ✅ 87 October 22, 2018
Convert ResNet to Sequential? 1 May 21, 2019
Accuracy worsens after unfreezing 5 May 21, 2019
Serverless Deployment on Azure Functions 5 March 23, 2019
Do we need to normalize single image before running predict function on it? 7 April 22, 2019
Lesson 7 in-class chat ✅ 237 December 12, 2018
Tabular Learner gives ZeroDivisionError when fit_one_cycle is called with max_lr slice 6 May 18, 2019
Can I use top_k_accuracy as a loss function? 6 May 20, 2019
DataBunch using Size parameter 9 May 21, 2019
Setting up an experiment to find analogies 1 May 21, 2019
Expected a non-empty list of Tensors [Solved] 9 November 6, 2018