Part 1 (2019)


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For more information about these local categories, see <a href="//forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. UTC+1 Africa If you’re in Africa, or in a time-zone near UTC+1, or just want to connect with folks in that group, here’s the category to do it. (Even if you’re not in that group, feel free to join in here if you wish. The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="http://forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. Advanced (Part 1 v3) If your question or comment is not suitable for people who have not studied deep learning before, please use this category to ask it. Note that in order to avoid being overwhelmed by advanced questions if you are new to deep learning, you can use the “subcategory” drop-down to select “none” - meaning that no subcategories will appear. 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The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="//forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. San Francisco If you are an in the SF Bay Area (including USF in-person students), you can use this category to organize study groups, discuss meetups, or other local topics. UTC+8 China / SE Asia If you’re in China or Southeast Asia, or in a time-zone near UTC+8, or just want to connect with folks in that group, here’s the category to do it. (Even if you’re not in that group, feel free to join in here if you wish. The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="http://forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. UTC+3 Russia If you’re in Russia, or in a time-zone near UTC+3, or just want to connect with folks in that group, here’s the category to do it. (Even if you’re not in that group, feel free to join in here if you wish. The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="//forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. UTC+0 UK / EU West If you’re in the UK or Western Europe, or in a time-zone near UTC+0, or just want to connect with folks in that group, here’s the category to do it. (Even if you’re not in that group, feel free to join in here if you wish. The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="//forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>. UTC-3 Sth America If you’re in South America, or in a time-zone near UTC-3, or just want to connect with folks in that group, here’s the category to do it. (Even if you’re not in that group, feel free to join in here if you wish. The same timezone will just make it easier to connect in real time and narrow down the group size so that it’s easier to connect locally.) For more information about these local categories, see <a href="//forums.fast.ai/t/fast-ai-live-local-categories-utc/25494">this post</a>.
General course chat ( 12 13 14 15 16 17 18 19 20 21 22 23 ) [Part 1 (2019)] (456)
How to contribute to fastai [Part 1 (2019)] (3)

This is a summary how-to wiki thread/post - that means you can edit and improve it! For discussion and questions about it please use this thread instead: https://forums.fast.ai/t/how-to-contribute-to-fastai-discussion/3…

FAQ, resources, and official course updates ✅ [Part 1 (2019)] (7)

Welcome to deep learning part 1 v3! This thread will be updated with any important changes to the course, so please keep a close eye on it. Only admins are able to reply to this thread, so please subscribe to topic notif…

How to obtain the category to index mapping in embedding layer [Part 1 (2019)] (1)
Rossman_data_clean.ipynb got TypeError: dtype '<class 'datetime.datetime'>' not understood [Part 1 (2019)] (3)
Lesson3-imdb - Loading Databunch fails [Part 1 (2019)] (5)
Inconsistent result between ClassificationInterpretation.top_losses() and DatasetFormatter().from_toplosses() [Part 1 (2019)] (2)
Share your work here ✅ ( 40 41 42 43 44 45 46 47 48 49 50 51 ) [Part 1 (2019)] (1003)
Tabular_learner layers=[] parameter guidelines? [Part 1 (2019)] (5)
📝 Deep Learning Lesson 1 Notes ( 2 3 ) [Part 1 (2019)] (43)
Quora insincere questions challenge-high accuracy but not working ( 2 ) [Part 1 (2019)] (22)
RuntimeError: The size of tensor a (2) must match the size of tensor b (96) at non-singleton dimension 1 [Advanced (Part 1 v3)] (6)
Why is it the `BatchNorm2d ` layers in a frozen model trainable? [Part 1 (2019)] (1)
Lesson 2 In-Class Discussion ✅ ( 20 21 22 23 24 25 26 27 28 29 30 31 ) [Part 1 (2019)] (605)
Can't do Segmentation: CUDA error: device-side assert triggered [Part 1 (2019)] (5)
Lesson 3: Multilabel image classification [Part 1 (2019)] (1)
Lesson 2: further discussion ✅ ( 2 3 4 5 6 7 8 ) [Advanced (Part 1 v3)] (140)
Platform: Kaggle Kernels ( 2 3 4 5 ) [Part 1 (2019)] (81)
Study Group in Toronto / GTA area ( 2 ) [UTC-6 Central] (21)
Lesson 1 Discussion ✅ ( 52 53 54 55 56 57 58 59 60 61 62 63 ) [Part 1 (2019)] (1240)
Help us test new video player ( 2 ) [Part 1 (2019)] (29)
Best model to use for age detection? [Part 1 (2019)] (1)
Lesson 5 Advanced Discussion ✅ ( 2 3 ) [Advanced (Part 1 v3)] (48)
Cannot load saved model [Part 1 (2019)] (2)
Puting the Model Into Production: Web Apps ( 2 3 4 5 6 ) [Part 1 (2019)] (111)
Platform: SageMaker ✅ ( 2 3 4 5 6 ) [Part 1 (2019)] (103)
Understanding class imbalance (HAM10000 dermatology images) [Part 1 (2019)] (8)
Deep Learning with Audio Thread ( 2 ) [Part 1 (2019)] (21)
Lesson 3 Camvid with another dataset - FileNotFoundError [Part 1 (2019)] (3)
Why are all of my model's predictions are the same? [Part 1 (2019)] (4)