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Simple Python Package to Extract Deep Learning Features
- amelius 7y agoThis blogpost makes it sound as if using a deep learning library for a task like image classification is difficult, while it is just a matter of copy+paste, annotate, and run.
- craftinator 7y agoPlease provide either an example or a source for this assertion.
- la_fayette 7y agohttps://github.com/fchollet/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb https://github.com/fchollet/deep-learning-with-python-notebo...
- rytill 7y agoThe OP library specifically grabs the ImageNet model and uses transfer learning. That's just a general keras convolutional networks resource.
- lopmotr 7y agoThe entire library is only 100 lines of code, so you could copy and paste its own source.
- kylek 7y agoDunno, maybe you aren't the target for the article. As someone who has never played with deep learning, I thought it was presented just fine.
- make3 7y agoit is a lot harder than what this library does.
- make3 7y agoI wonder if there is a BERT equivalent for NLP. Is BERT part of Spacy now?
- visarga 7y agohuggingface offers a whole family of pretrained transformers. https://github.com/huggingface/pytorch-transformers https://github.com/huggingface/pytorch-transformers
- make3 7y agoThe Tf-Hub stuff is pretty close I guess https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1 https://tfhub.dev/google/bert_uncased_L-12_H-768_A-12/1
- syllogism 7y agoWe've been developing support for transformers in spaCy. See: https://explosion.ai/blog/spacy-pytorch-transformers https://explosion.ai/blog/spacy-pytorch-transformers https://github.com/explosion/spacy-pytorch-transformers https://github.com/explosion/spacy-pytorch-transformers
- deleted 7y ago[deleted]