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Retraining a spam detection model to handle new edge cases
Learn how to retrain your comment spam classification model to account for the instances it does not classify correctly. Here we learn how our previously chosen model fails with certain edge cases, what we can do to reduce errors, and then how to retrain the model with our new edge case data via Model Maker which can be exported to the TensorFlow.js format for use on the web.
View more from this path: Web ML learning path - Go further with comment spam detection → https://goo.gle/2QwziU8
Prerequisite learning path: Web ML - Get started with comment-spam detection → https://goo.gle/3tVP8oS
TensorFlow.js website → https://goo.gle/2XLhMe0
Get inspired by #MadeWithTFJS projects → http://goo.gle/made-with-tfjs
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#MadeWithTFJS #GoogleIO #WebML #TensorFlowJS #TensorFlow
Видео Retraining a spam detection model to handle new edge cases канала TensorFlow
View more from this path: Web ML learning path - Go further with comment spam detection → https://goo.gle/2QwziU8
Prerequisite learning path: Web ML - Get started with comment-spam detection → https://goo.gle/3tVP8oS
TensorFlow.js website → https://goo.gle/2XLhMe0
Get inspired by #MadeWithTFJS projects → http://goo.gle/made-with-tfjs
Subscribe to TensorFlow → https://goo.gle/TensorFlow
#MadeWithTFJS #GoogleIO #WebML #TensorFlowJS #TensorFlow
Видео Retraining a spam detection model to handle new edge cases канала TensorFlow
o2021 google io learning path colab web learning path web ml learning path nlp retrain transfer learning false positives true negatives natural language comment spam open source machine learning library creative coding made with tensorflow.js tensorflow javascript javascript tensorflow tf machine learning ml tensorflow.js tf.js deep neural network jason mayes developer developers tensorflow developers google developers google
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18 мая 2021 г. 9:13:21
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