In this lesson, we will discuss how you can expand the NLP model in SpaCy. Text data is so wide therefore it is possible that the model is not present in Spacy to deal with it and in that case you can build your own rule and merge with the default SpaCy model.

NLP Tutorial 7 - Combining NLP Models and Custom Rules in SpaCy Python Tutorial
https://youtu.be/yHmfOWryK4M
https://m.facebook.com/groups/107107546348803?view=permalink&id=984324795293736&sfnsn=mo
Posted by uniqueone
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#Download working file from the video description
Processing Pipeline is an important step in feature extraction from text data. Learn how the pipeline works and how you can speed up the processing by disabling some blocks of the pipeline.
NLP Tutorial 8 - Introduction to Processing Pipeline in SpaCy Python Tutorial | SpaCy for NLP
https://youtu.be/GI_2wmSK49I
https://m.facebook.com/groups/107107546348803?view=permalink&id=984991961893686&sfnsn=mo
Posted by uniqueone
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State of the art in Brain Tumor Segmentation:
https://www.profillic.com/paper/arxiv:1909.12901

(A 3D U-net based deep learning model has been trained with the help of brain-wise normalization and patching strategies for the brain tumor segmentation task)
https://www.facebook.com/groups/DeepNetGroup/permalink/985359465190269/?sfnsn=mo
Posted by uniqueone
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정말 대단함!

일독을 권합니다~
https://www.facebook.com/159255300951476/posts/1172071929669803/?sfnsn=mo
Posted by uniqueone
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Deep Learning with Keras A-Z: Part of our Data Science & Machine Learning Notes Series. We will now explore step by step tutor using Keras on MNIST. Go through the Analysis steps and try to understand the context. If some topics are too advanced they will be covered soon in the upcoming Learning Notes Series.

Get your Notes here:[http://bit.ly/2MQVcgf](https://l.facebook.com/l.php?u=https%3A%2F%2Fbit.ly%2F2MQVcgf%3Ffbclid%3DIwAR0XWCuw5ALJ7YDyvPaED-6nFeM8e_upLhqUjmqS9TV6QGgfhZU1UUbd_Jc&h=AT2-kOSNPPdv1ICdwKZbI3_Je7jTjOfa1KYaQYdZsuDgIf-NxK_J9lEuYAfhWdyrkh72wv3uDMn65K7WHMrGPdH9aPjkXCWUP4mYIIwD3948AV5lZ6sSkUDY8R9iUj_e1R9P4CIfcapKfTwP79NT1qhrdZBXt2Z7kaC1AMnvb4tFLMGdZqWWRgWmKPVM4gTtuFThQEceooKOAVRqZh3DSUp2TAGIOv4kApQ824OQ3ftbW3HvOCrVSxU6TuiX65AXdFLXihO5MxThizVIsf6h-8HP1oOYFUvarHZjB2kteZNE9F7OTTKuy4oIfDkEPUABgkGnjlEoExlVfARkHSIb6U1POYGvL1DxQKvug-F3AwFmd0VW3V2kaXHPKJl_HQvIDhr_bYaP3j0ZAjxaj6eZcfiaolUvW8h7Je2PEy6VXhhYNrJePd9GMA0Tksh74rSV7_kDy_42tJ8d7VzVg969nLFqAldvkfJbY56RmOqLMfVNweGyrRYBx4MGjUTusjl5qJ4KO4GtxWZZg3W0iGF1pSNnVduzHePYWxLofwrinS94Ya4ZHrVMIv0EoeA4_lfSAqCyugMGBVNAgXLFfBgtIoYkqyCTWd8Z5EVXhK1Z2CdxsrhwQI6GdO7jLyCbXj0QkM0ydJk)
https://www.facebook.com/groups/DataScienceGroup/permalink/2731937136868159/?sfnsn=mo
Posted by uniqueone
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