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fastdotai
@fastdotai
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Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Gradient Dissent: Conversations on AI
@fastdotai
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07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do
Chai Time Data Science
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08: Where to go from here, General fast.ai advice
Chai Time Data Science
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01 fast.ai Lesson-1 Image Classification | fast.ai 2019 & Things Jeremy Howard says to do
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00 fast.ai 2019 Summaries & Things Jeremy Howard says to do
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03: fast.ai Lesson-3 Multi-label; SGD from scratch | fast.ai 2019 & Things Jeremy Howard says to do
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06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do
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02: fast.ai Lesson-2 Production & SGD From Scratch | fast.ai 2019 & Things Jeremy Howard says to do
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04: fast.ai Lesson-4 NLP:Tabular Data; Recsys | fast.ai 2019 & Things Jeremy Howard says to do
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05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do
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Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai
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Interview with Jeremy Howard | fast.ai | Kaggle | Machine Learning Research
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Gradient Dissent: Conversations on AI
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