How LSTM Networks Work? | Deep Learning | Simple Explanation

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...  


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