How LSTM Networks Work Deep Learning Simple Explanation













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Tutorial covers: basics of LSTM, what they do, and their real world applications. LSTM is a variant of Recurrent Neural Network or RNN, and is proven to work well with learning remembering patterns across time. • We shall also discuss two quite popular applications of LSTM: Sentence Completion Text Classification, along with a functional walkthrough of how LSTMs pull off a fabulous job. • Happy learning :) • 🔥 Sections: • 00:00 Introduction • 01:49 But, what's LSTM? • 05.44 LSTM architecture • 06:30 Real-world examples • 09:41 Your bonus!! • 🔥 Resources: • Sentiment Analysis Project using LSTM:    • Sentiment Analysis with LSTM | Deep L...   • Mathematics behind LSTM: http://colah.github.io/posts/2015-08-... • Word Embeddings (for Text-to-Numeric transformations):    • Word Embeddings Explained   • • Our other popular ML Projects: • 1. Sentiment Analysis Project (End-to-end) with ML Model Building + Deployment (using Flask): • ---- a. Model Building:    • Sentiment Analysis Machine Learning P...   (Part-1) • ---- b. Model Deployment:    • PIP + Virtual Environment | Flask Dep...   (Part-2) • 2. Sentiment Analysis Project using Traditional ML:    • Sentiment Analysis Project using Mach...   • 3. Analytics-enabled Marketing:    • Marketing Analytics Project using Mac...   • 4. Credit Scoring Project:    • Credit Scoring Project using Machine ...   • 5. Face Recognition Project:    • Face Detection Machine Learning Proje...   • • 🔥 Do like, share subscribe to our channel. Keep in touch: • Website: https://www.skillcate.com • Email: [email protected] • Facebook:   / mlprojects   • Telegram: https://t.me/skillcate

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