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Sentiment Classification with Recurrent Neural Networks
Released 07/09/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + vtt | Duration: 1h 32m | Size: 173.9 MB
This course will teach you how to apply AI/ML techniques to find out the sentiment in text data and classify a text based on the sentiments it expresses
Sentiment classification is one of the most popular text classification problems in AI/ML. In this course, Sentiment Classification with Recurrent Neural Networks, you'll learn to build a system to classify a text based on the sentiment it expresses.
First, you'll explore the architecture of recurrent neural networks (RNNs). Next, you'll discover how RNNs can be used to sentiment classification. Finally, you'll learn how to build a system for sentiment classification using Python, Keras, and PyTorch. When you're finished with this course, you'll have the skills and knowledge of sentiment classification with RNNs needed to build a system for sentiment classification from raw texts.
Homepage
https://www.pluralsight.com/courses/sentiment-classification-recurrent-neural-networks
https://rapidgator.net/file/25664e2ae1e5f6d513e7514cfdd60b11/gnypd.Sentiment.Classification.with.Recurrent.Neural.Networks.rar.html
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