Part 1 (2017)
Welcome to forums.fast.ai
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About the Part 1 (2017) category
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Questions about batch normalization
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'Deep Visualisation Toolkit' ImportError problem
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Chinese and Japanese translations available - translation help wanted!
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Dense vs convolutional vs fully connected layers
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Making your own server
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Anomaly Detection
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Lesson 1 Notebook - can't find dogscats data
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How could I release gpu memory of keras
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Lesson 7 discussion
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Unofficial release of part 1 v2
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Hello! Intros thread!
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Setup problems: AWS
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Error in md = ColumnarModelData.from_data_frame()
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Error using tensorflow w python 3, cudnn, getting dl box to work
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Noob question on maximising GPU utilization
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We won a Deep Learning Hackathon! Many thanks to Fast.ai
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Use ULMFT(Universal Language Model Fine-tuning for Text Classification)
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Lesson-1-rxt50 : unpickling error
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Cats vs Dogs "as a service" (python Flask wrapper for CNN)
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Recommender System Questions
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Announcing Practical Deep Learning Part 2 - Integrating Recent Advances and Classic Machine Learning
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Error in vgg_preprocess?
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AWS setup - please help
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Installation problems with torch, torchvision, models, cuda
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Extracting Features from learn.model (resnext50)
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Lesson1.ipynb - Error - TypeError: torch.max received an invalid combination of arguments - got (numpy.ndarray, dim=int)
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Donate to Hollows.org
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Device-side assert triggered - THCTensorCopy
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